lhallee commited on
Commit
62de771
·
verified ·
1 Parent(s): 1eb1710

Re-record goldens against FP32 truth for Synthyra/FastPLMs#52

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. tests/goldens/ankh2_large.json +22 -7
  2. tests/goldens/ankh2_large.safetensors +2 -2
  3. tests/goldens/ankh3_large.json +22 -7
  4. tests/goldens/ankh3_large.safetensors +2 -2
  5. tests/goldens/ankh3_xl.json +22 -7
  6. tests/goldens/ankh3_xl.safetensors +2 -2
  7. tests/goldens/ankh_base.json +22 -7
  8. tests/goldens/ankh_base.safetensors +2 -2
  9. tests/goldens/ankh_large.json +22 -7
  10. tests/goldens/ankh_large.safetensors +2 -2
  11. tests/goldens/dplm2_150m.json +40 -12
  12. tests/goldens/dplm2_150m.safetensors +2 -2
  13. tests/goldens/dplm2_3b.json +40 -12
  14. tests/goldens/dplm2_3b.safetensors +2 -2
  15. tests/goldens/dplm2_650m.json +40 -12
  16. tests/goldens/dplm2_650m.safetensors +2 -2
  17. tests/goldens/dplm_150m.json +40 -12
  18. tests/goldens/dplm_150m.safetensors +2 -2
  19. tests/goldens/dplm_3b.json +40 -12
  20. tests/goldens/dplm_3b.safetensors +2 -2
  21. tests/goldens/dplm_650m.json +40 -12
  22. tests/goldens/dplm_650m.safetensors +2 -2
  23. tests/goldens/e1_150m.json +40 -12
  24. tests/goldens/e1_150m.safetensors +2 -2
  25. tests/goldens/e1_300m.json +40 -12
  26. tests/goldens/e1_300m.safetensors +2 -2
  27. tests/goldens/e1_600m.json +40 -12
  28. tests/goldens/e1_600m.safetensors +2 -2
  29. tests/goldens/esm2_150m.json +33 -9
  30. tests/goldens/esm2_150m.safetensors +2 -2
  31. tests/goldens/esm2_35m.json +33 -9
  32. tests/goldens/esm2_35m.safetensors +2 -2
  33. tests/goldens/esm2_3b.json +33 -9
  34. tests/goldens/esm2_3b.safetensors +2 -2
  35. tests/goldens/esm2_650m.json +33 -9
  36. tests/goldens/esm2_650m.safetensors +2 -2
  37. tests/goldens/esm2_8m.json +33 -9
  38. tests/goldens/esm2_8m.safetensors +2 -2
  39. tests/goldens/esm3_small.json +32 -8
  40. tests/goldens/esm3_small.safetensors +2 -2
  41. tests/goldens/esmc_6b.json +32 -8
  42. tests/goldens/esmc_6b.safetensors +2 -2
  43. tests/goldens/esmc_large.json +32 -8
  44. tests/goldens/esmc_large.safetensors +2 -2
  45. tests/goldens/esmc_small.json +32 -8
  46. tests/goldens/esmc_small.safetensors +2 -2
  47. tests/goldens/esmfold2.json +16 -14
  48. tests/goldens/esmfold2.safetensors +1 -1
  49. tests/goldens/esmfold2_300.json +292 -0
  50. tests/goldens/esmfold2_300.safetensors +3 -0
tests/goldens/ankh2_large.json CHANGED
@@ -13,13 +13,18 @@
13
  },
14
  "environment": {
15
  "details": {
16
- "cuda_device": "NVIDIA H100 PCIe",
 
 
17
  "cuda_runtime": "13.0",
18
- "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.29.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.2\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.4.1\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"2.7.0\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
 
 
19
  "python": "3.10.12",
20
- "torch": "2.13.0+cu130"
 
21
  },
22
- "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
23
  },
24
  "generation_command": [
25
  "python",
@@ -37,7 +42,8 @@
37
  "schema_version": 1,
38
  "source_files": {
39
  "native/bf16.safetensors": "d654e6701d0c8192dc96c76e4a10b621c193fe085d07db636ecf58a52f62ccbd",
40
- "native/metadata.json": "4cf9ad9fe3064e24334d7966346f65cfcd3935cb2166769b6a87631ea843a7bb"
 
41
  },
42
  "sources": [
43
  {
@@ -48,7 +54,7 @@
48
  ],
49
  "tensor_file": {
50
  "path": "ankh2_large.safetensors",
51
- "sha256": "25fe1569f55c635fab8fa49c1d62a889a35a2a738bad921f5764a85b58fd4b5d"
52
  },
53
  "tensors": {
54
  "input__attention_mask": {
@@ -67,7 +73,7 @@
67
  62
68
  ]
69
  },
70
- "output__last_hidden_state": {
71
  "dtype": "bfloat16",
72
  "sha256": "c4eeec90380d66d51664c6375677e8bf87442db8a859c16ef39b6cd4520bec76",
73
  "shape": [
@@ -76,6 +82,15 @@
76
  1536
77
  ]
78
  },
 
 
 
 
 
 
 
 
 
79
  "residue_mask": {
80
  "dtype": "bool",
81
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
 
13
  },
14
  "environment": {
15
  "details": {
16
+ "cuda_device": "NVIDIA GH200 480GB",
17
+ "cuda_device_capability": "[9,0]",
18
+ "cuda_driver": "570.148.08",
19
  "cuda_runtime": "13.0",
20
+ "cuda_total_memory": "101468602368",
21
+ "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.32.3\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.4\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.5.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\"}",
22
+ "platform_machine": "aarch64",
23
  "python": "3.10.12",
24
+ "torch": "2.13.0+cu130",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
28
  },
29
  "generation_command": [
30
  "python",
 
42
  "schema_version": 1,
43
  "source_files": {
44
  "native/bf16.safetensors": "d654e6701d0c8192dc96c76e4a10b621c193fe085d07db636ecf58a52f62ccbd",
45
+ "native/fp32.safetensors": "212f4845ad493f5fcc457f8439c25f7c1c2eb81887095a1592462243ed28f161",
46
+ "native/metadata.json": "ea011c1749b4a31482343363ddea93972fde6b7842b3fbad500b4e849bb469a5"
47
  },
48
  "sources": [
49
  {
 
54
  ],
55
  "tensor_file": {
56
  "path": "ankh2_large.safetensors",
57
+ "sha256": "44d5fc5c74a0d166ceac54d12505a109f8338cb7090af2f37e39bd78545a3c52"
58
  },
59
  "tensors": {
60
  "input__attention_mask": {
 
73
  62
74
  ]
75
  },
76
+ "official_bf16__last_hidden_state": {
77
  "dtype": "bfloat16",
78
  "sha256": "c4eeec90380d66d51664c6375677e8bf87442db8a859c16ef39b6cd4520bec76",
79
  "shape": [
 
82
  1536
83
  ]
84
  },
85
+ "output__last_hidden_state": {
86
+ "dtype": "float32",
87
+ "sha256": "792f16b183359de40702e874c95aaa4901f9a91e3a48ecada786e3780a707a9e",
88
+ "shape": [
89
+ 3,
90
+ 62,
91
+ 1536
92
+ ]
93
+ },
94
  "residue_mask": {
95
  "dtype": "bool",
96
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
tests/goldens/ankh2_large.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:25fe1569f55c635fab8fa49c1d62a889a35a2a738bad921f5764a85b58fd4b5d
3
- size 574922
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44d5fc5c74a0d166ceac54d12505a109f8338cb7090af2f37e39bd78545a3c52
3
+ size 1717818
tests/goldens/ankh3_large.json CHANGED
@@ -14,13 +14,18 @@
14
  },
15
  "environment": {
16
  "details": {
17
- "cuda_device": "NVIDIA H100 PCIe",
 
 
18
  "cuda_runtime": "13.0",
19
- "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.29.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.2\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.4.1\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"2.7.0\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
 
 
20
  "python": "3.10.12",
21
- "torch": "2.13.0+cu130"
 
22
  },
23
- "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
24
  },
25
  "generation_command": [
26
  "python",
@@ -38,7 +43,8 @@
38
  "schema_version": 1,
39
  "source_files": {
40
  "native/bf16.safetensors": "aad644cae1b174d673e101106bfb80cd9ef001741ab34778af69d52d32e47d65",
41
- "native/metadata.json": "2c02d3d68eab4c42966f59dc7f04ad2a0009834792791a74bb0115b68fbdf2a4"
 
42
  },
43
  "sources": [
44
  {
@@ -49,7 +55,7 @@
49
  ],
50
  "tensor_file": {
51
  "path": "ankh3_large.safetensors",
52
- "sha256": "e5c494ac418e0a2fe7bdad1376676d48960d58ec9e044d19bfffccb8c3288513"
53
  },
54
  "tensors": {
55
  "input__attention_mask": {
@@ -68,7 +74,7 @@
68
  62
69
  ]
70
  },
71
- "output__last_hidden_state": {
72
  "dtype": "bfloat16",
73
  "sha256": "7d86ab8cf5d96de8c426bdea5c3d0272dd69ad927bb745c903be3bd09f6b2eab",
74
  "shape": [
@@ -77,6 +83,15 @@
77
  1536
78
  ]
79
  },
 
 
 
 
 
 
 
 
 
80
  "residue_mask": {
81
  "dtype": "bool",
82
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
 
14
  },
15
  "environment": {
16
  "details": {
17
+ "cuda_device": "NVIDIA GH200 480GB",
18
+ "cuda_device_capability": "[9,0]",
19
+ "cuda_driver": "570.148.08",
20
  "cuda_runtime": "13.0",
21
+ "cuda_total_memory": "101468602368",
22
+ "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.32.3\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.4\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.5.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\"}",
23
+ "platform_machine": "aarch64",
24
  "python": "3.10.12",
25
+ "torch": "2.13.0+cu130",
26
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
27
  },
28
+ "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
29
  },
30
  "generation_command": [
31
  "python",
 
43
  "schema_version": 1,
44
  "source_files": {
45
  "native/bf16.safetensors": "aad644cae1b174d673e101106bfb80cd9ef001741ab34778af69d52d32e47d65",
46
+ "native/fp32.safetensors": "90e13d1dbf3bf72b467792cc32655c0be5730099cc3e0b1aeaa0a213d19b81c4",
47
+ "native/metadata.json": "8b152e73a3e7456569d74b4de2fd4c1c7586e1420b54597bf5e43bb549feae1a"
48
  },
49
  "sources": [
50
  {
 
55
  ],
56
  "tensor_file": {
57
  "path": "ankh3_large.safetensors",
58
+ "sha256": "cc55274281e87d22cf7828117678df2e37a1ece543f5b401b65a0cd6f8b6fa27"
59
  },
60
  "tensors": {
61
  "input__attention_mask": {
 
74
  62
75
  ]
76
  },
77
+ "official_bf16__last_hidden_state": {
78
  "dtype": "bfloat16",
79
  "sha256": "7d86ab8cf5d96de8c426bdea5c3d0272dd69ad927bb745c903be3bd09f6b2eab",
80
  "shape": [
 
83
  1536
84
  ]
85
  },
86
+ "output__last_hidden_state": {
87
+ "dtype": "float32",
88
+ "sha256": "66035dd7690423a8404394ddb0049ba813824b541837c0ea4a3af8f4624e3827",
89
+ "shape": [
90
+ 3,
91
+ 62,
92
+ 1536
93
+ ]
94
+ },
95
  "residue_mask": {
96
  "dtype": "bool",
97
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
tests/goldens/ankh3_large.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e5c494ac418e0a2fe7bdad1376676d48960d58ec9e044d19bfffccb8c3288513
3
- size 574922
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc55274281e87d22cf7828117678df2e37a1ece543f5b401b65a0cd6f8b6fa27
3
+ size 1717818
tests/goldens/ankh3_xl.json CHANGED
@@ -16,13 +16,18 @@
16
  },
17
  "environment": {
18
  "details": {
19
- "cuda_device": "NVIDIA H100 PCIe",
 
 
20
  "cuda_runtime": "13.0",
21
- "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.29.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.2\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.4.1\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"2.7.0\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
 
 
22
  "python": "3.10.12",
23
- "torch": "2.13.0+cu130"
 
24
  },
25
- "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
26
  },
27
  "generation_command": [
28
  "python",
@@ -40,7 +45,8 @@
40
  "schema_version": 1,
41
  "source_files": {
42
  "native/bf16.safetensors": "3307d0435454226f44000413a575bb685e201680bf574ba47f290c8352233b3a",
43
- "native/metadata.json": "089d03fceb1e71caabfacf47bd33e72edb3be6264d17e57f84c5f38b95205cef"
 
44
  },
45
  "sources": [
46
  {
@@ -51,7 +57,7 @@
51
  ],
52
  "tensor_file": {
53
  "path": "ankh3_xl.safetensors",
54
- "sha256": "72d34567d0228cb6f1ee701c578ed4039fead4346e3f161a52e0e74df28dc8ae"
55
  },
56
  "tensors": {
57
  "input__attention_mask": {
@@ -70,7 +76,7 @@
70
  62
71
  ]
72
  },
73
- "output__last_hidden_state": {
74
  "dtype": "bfloat16",
75
  "sha256": "53fd63cc76e94c690b358d18cc69a41be2ce8895009687183d79277d998d6a17",
76
  "shape": [
@@ -79,6 +85,15 @@
79
  2560
80
  ]
81
  },
 
 
 
 
 
 
 
 
 
82
  "residue_mask": {
83
  "dtype": "bool",
84
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
 
16
  },
17
  "environment": {
18
  "details": {
19
+ "cuda_device": "NVIDIA GH200 480GB",
20
+ "cuda_device_capability": "[9,0]",
21
+ "cuda_driver": "570.148.08",
22
  "cuda_runtime": "13.0",
23
+ "cuda_total_memory": "101468602368",
24
+ "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.32.3\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.4\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.5.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\"}",
25
+ "platform_machine": "aarch64",
26
  "python": "3.10.12",
27
+ "torch": "2.13.0+cu130",
28
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
29
  },
30
+ "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
31
  },
32
  "generation_command": [
33
  "python",
 
45
  "schema_version": 1,
46
  "source_files": {
47
  "native/bf16.safetensors": "3307d0435454226f44000413a575bb685e201680bf574ba47f290c8352233b3a",
48
+ "native/fp32.safetensors": "37ffd37259426334ba6f7b7618b0e3128c90d9b66d4589cb47d544c367d3c21c",
49
+ "native/metadata.json": "45ead9f0fc6e1ea8fec2f69297e1c62add5c964f243287ee2a8209ba9cb236d0"
50
  },
51
  "sources": [
52
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "ankh3_xl.safetensors",
60
+ "sha256": "d18c086a4849b220761019f219590fe0c1c6f17698c365ccb0a5a8804446286c"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
 
76
  62
77
  ]
78
  },
79
+ "official_bf16__last_hidden_state": {
80
  "dtype": "bfloat16",
81
  "sha256": "53fd63cc76e94c690b358d18cc69a41be2ce8895009687183d79277d998d6a17",
82
  "shape": [
 
85
  2560
86
  ]
87
  },
88
+ "output__last_hidden_state": {
89
+ "dtype": "float32",
90
+ "sha256": "aac560bbd71a3196fe09bbe92fc4f84db669af126a11c75b59d7f484d6a24751",
91
+ "shape": [
92
+ 3,
93
+ 62,
94
+ 2560
95
+ ]
96
+ },
97
  "residue_mask": {
98
  "dtype": "bool",
99
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
tests/goldens/ankh3_xl.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:72d34567d0228cb6f1ee701c578ed4039fead4346e3f161a52e0e74df28dc8ae
3
- size 955850
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d18c086a4849b220761019f219590fe0c1c6f17698c365ccb0a5a8804446286c
3
+ size 2860602
tests/goldens/ankh_base.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.29.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.2\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.4.1\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"2.7.0\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
 
 
18
  "python": "3.10.12",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
22
  },
23
  "generation_command": [
24
  "python",
@@ -36,7 +41,8 @@
36
  "schema_version": 1,
37
  "source_files": {
38
  "native/bf16.safetensors": "22e13c549d75b3de39021a31672c1db64a3b645e0c0346db64fbc5d7ad71f5ba",
39
- "native/metadata.json": "8635555caa1ed3d8d57c41f35184142af565ca2a2dff51584dc2897a717c5f4b"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "ankh_base.safetensors",
50
- "sha256": "f0e78aa15d11749e0c64ff57f9e88c51cec6538a0adf8951f839df70cc708b65"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +72,7 @@
66
  62
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "bfloat16",
71
  "sha256": "643463daebb89c00b0469b4e7b02d08ec0bc9c4561f2be4c1c5e9441ff82177a",
72
  "shape": [
@@ -75,6 +81,15 @@
75
  768
76
  ]
77
  },
 
 
 
 
 
 
 
 
 
78
  "residue_mask": {
79
  "dtype": "bool",
80
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.32.3\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.4\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.5.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.10.12",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
27
  },
28
  "generation_command": [
29
  "python",
 
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "22e13c549d75b3de39021a31672c1db64a3b645e0c0346db64fbc5d7ad71f5ba",
44
+ "native/fp32.safetensors": "ea7ad5f247870c8a10d54abc8011b55e6f0d225b93e626a52fdb9e3b6e9b6c8e",
45
+ "native/metadata.json": "32501523852e2a0fdd58ddf286f91e4b0b112084215a5733ba33d4fe12507de9"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "ankh_base.safetensors",
56
+ "sha256": "449db3638117d5b6027380fdf4b05698bb156024b2b3f7e0ceb295a86e5ec756"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  62
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
  "dtype": "bfloat16",
77
  "sha256": "643463daebb89c00b0469b4e7b02d08ec0bc9c4561f2be4c1c5e9441ff82177a",
78
  "shape": [
 
81
  768
82
  ]
83
  },
84
+ "output__last_hidden_state": {
85
+ "dtype": "float32",
86
+ "sha256": "9b3e602f7ccd6301bdfac3d3791da51d7b132b47f68ac820215d9b5a608c1017",
87
+ "shape": [
88
+ 3,
89
+ 62,
90
+ 768
91
+ ]
92
+ },
93
  "residue_mask": {
94
  "dtype": "bool",
95
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
tests/goldens/ankh_base.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f0e78aa15d11749e0c64ff57f9e88c51cec6538a0adf8951f839df70cc708b65
3
- size 289226
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:449db3638117d5b6027380fdf4b05698bb156024b2b3f7e0ceb295a86e5ec756
3
+ size 860722
tests/goldens/ankh_large.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.29.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.2\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.4.1\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"2.7.0\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
 
 
18
  "python": "3.10.12",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
22
  },
23
  "generation_command": [
24
  "python",
@@ -36,7 +41,8 @@
36
  "schema_version": 1,
37
  "source_files": {
38
  "native/bf16.safetensors": "fdba8593cfb54ee4532e8f9fef7d5df110d66d245797ba37bb5c24049d918c2e",
39
- "native/metadata.json": "7df438c5257521541034e7b8e8190c0c4f4cd31d6fb2b00c4f2c502296f68244"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "ankh_large.safetensors",
50
- "sha256": "3fb8d3ac27716d15a9ea92aeef6acf2b977bcc887d9b535000539e523673459b"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +72,7 @@
66
  62
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "bfloat16",
71
  "sha256": "b8f603b15932d06c2aad9baabf6e7811ecf937589078a078ad79745414b21733",
72
  "shape": [
@@ -75,6 +81,15 @@
75
  1536
76
  ]
77
  },
 
 
 
 
 
 
 
 
 
78
  "residue_mask": {
79
  "dtype": "bool",
80
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"ankh\":\"1.10.0\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"biopython\":\"1.80\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"exceptiongroup\":\"1.3.1\",\"filelock\":\"3.32.3\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pandas\":\"2.3.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"propcache\":\"0.5.4\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"sentencepiece\":\"0.1.99\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.13.3\",\"tomli\":\"2.5.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.25.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.10.12",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
27
  },
28
  "generation_command": [
29
  "python",
 
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "fdba8593cfb54ee4532e8f9fef7d5df110d66d245797ba37bb5c24049d918c2e",
44
+ "native/fp32.safetensors": "5177febe81a9f0c4ce38c802ad8642dae5be6de6d91702724022973662fe1943",
45
+ "native/metadata.json": "9e54f8fe69b78d245bf6fa86ac8e43cf472532928e9ba0088a721765e593a22e"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "ankh_large.safetensors",
56
+ "sha256": "4a7aea66e91cf880b0b839495d7704831725b672fe169f8e7258b5643d77aff9"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  62
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
  "dtype": "bfloat16",
77
  "sha256": "b8f603b15932d06c2aad9baabf6e7811ecf937589078a078ad79745414b21733",
78
  "shape": [
 
81
  1536
82
  ]
83
  },
84
+ "output__last_hidden_state": {
85
+ "dtype": "float32",
86
+ "sha256": "be8a12886e5920898d4ea4332984ec1d264cfeb9bffee948cd637c0ddb0031fa",
87
+ "shape": [
88
+ 3,
89
+ 62,
90
+ 1536
91
+ ]
92
+ },
93
  "residue_mask": {
94
  "dtype": "bool",
95
  "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
tests/goldens/ankh_large.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3fb8d3ac27716d15a9ea92aeef6acf2b977bcc887d9b535000539e523673459b
3
- size 574922
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a7aea66e91cf880b0b839495d7704831725b672fe169f8e7258b5643d77aff9
3
+ size 1717818
tests/goldens/dplm2_150m.json CHANGED
@@ -12,13 +12,19 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
16
- "cuda_runtime": "12.1",
17
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
18
- "python": "3.10.12",
19
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
20
  },
21
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
22
  },
23
  "generation_command": [
24
  "python",
@@ -29,14 +35,18 @@
29
  "--output-root",
30
  "tests/goldens",
31
  "--model",
32
- "dplm2_150m"
 
 
33
  ],
34
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
35
  "model_id": "dplm2_150m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "1c7bf879a98cf293d91d7671ce86f7d2a440515891fa2eef326152995f3a5a03",
39
- "native/metadata.json": "68278e51d81ed79c0ccf05a22848102489a00e04376c10b51b6542ddc3828717"
 
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +57,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "dplm2_150m.safetensors",
50
- "sha256": "17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +76,7 @@
66
  126
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "float32",
71
  "sha256": "812f85535e9a682122a407c935f8097b08e03ae9bb508f29417a476cdb7047f9",
72
  "shape": [
@@ -75,7 +85,7 @@
75
  640
76
  ]
77
  },
78
- "output__logits": {
79
  "dtype": "float32",
80
  "sha256": "42eacf345357e9ea31bdb6bca3b99f2df6717a4acef6f16400d5fb864c526a66",
81
  "shape": [
@@ -84,6 +94,24 @@
84
  8229
85
  ]
86
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
  "residue_mask": {
88
  "dtype": "bool",
89
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "unavailable",
16
+ "cuda_device_capability": "null",
17
+ "cuda_driver": "unavailable",
18
+ "cuda_runtime": "unavailable",
19
+ "cuda_total_memory": "null",
20
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
21
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
22
+ "platform_machine": "aarch64",
23
+ "python": "3.10.22",
24
+ "torch": "2.2.0",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
28
  },
29
  "generation_command": [
30
  "python",
 
35
  "--output-root",
36
  "tests/goldens",
37
  "--model",
38
+ "dplm2_150m",
39
+ "--official-bf16-golden-root",
40
+ "artifacts/reference/official_bf16_goldens"
41
  ],
42
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
43
  "model_id": "dplm2_150m",
44
  "schema_version": 1,
45
  "source_files": {
46
+ "native/fp32.safetensors": "371fe06c6e9ad03dcd228c9a5fcf7e5ad0ee23014d0322f66eee284dfc64a861",
47
+ "native/metadata.json": "c428fb6cac4331f1a135f4cc50f4390b727e34873bd7cef4cceb73a3af4ccae1",
48
+ "official_bf16/dplm2_150m.json": "d269de779ea1503de72c77e7b2e6224afc9797bd945b40c571ff6faec782e4aa",
49
+ "official_bf16/dplm2_150m.safetensors": "17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb"
50
  },
51
  "sources": [
52
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "dplm2_150m.safetensors",
60
+ "sha256": "7390559bc54f27f08972c8f0adcf17954065450d937b3984303c1ae1ec003855"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
 
76
  126
77
  ]
78
  },
79
+ "official_bf16__last_hidden_state": {
80
  "dtype": "float32",
81
  "sha256": "812f85535e9a682122a407c935f8097b08e03ae9bb508f29417a476cdb7047f9",
82
  "shape": [
 
85
  640
86
  ]
87
  },
88
+ "official_bf16__logits": {
89
  "dtype": "float32",
90
  "sha256": "42eacf345357e9ea31bdb6bca3b99f2df6717a4acef6f16400d5fb864c526a66",
91
  "shape": [
 
94
  8229
95
  ]
96
  },
97
+ "output__last_hidden_state": {
98
+ "dtype": "float32",
99
+ "sha256": "01f78f144db994b6099520902617057afca7c64dc1aecd5f0a456d85f571d799",
100
+ "shape": [
101
+ 3,
102
+ 126,
103
+ 640
104
+ ]
105
+ },
106
+ "output__logits": {
107
+ "dtype": "float32",
108
+ "sha256": "5aa7986fff3b6df5f6bbe424a2e61c7c7995c1a3604b04df9491e565a20372be",
109
+ "shape": [
110
+ 3,
111
+ 126,
112
+ 8229
113
+ ]
114
+ },
115
  "residue_mask": {
116
  "dtype": "bool",
117
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
tests/goldens/dplm2_150m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb
3
- size 13416818
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7390559bc54f27f08972c8f0adcf17954065450d937b3984303c1ae1ec003855
3
+ size 26826946
tests/goldens/dplm2_3b.json CHANGED
@@ -15,13 +15,19 @@
15
  },
16
  "environment": {
17
  "details": {
18
- "cuda_device": "NVIDIA H100 PCIe",
19
- "cuda_runtime": "12.1",
20
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
21
- "python": "3.10.12",
22
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
23
  },
24
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
25
  },
26
  "generation_command": [
27
  "python",
@@ -32,7 +38,9 @@
32
  "--output-root",
33
  "tests/goldens",
34
  "--model",
35
- "dplm2_3b"
 
 
36
  ],
37
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
38
  "limitations": [
@@ -47,8 +55,10 @@
47
  "model_id": "dplm2_3b",
48
  "schema_version": 1,
49
  "source_files": {
50
- "native/bf16.safetensors": "2b0868d8e007ac29aa0674528c5c5de5392151d7c8482d86c4e43946334c24d9",
51
- "native/metadata.json": "feb45f4491402a908dda1f8a1e7c0b35936a65988bb2af6740b93c39f185832d"
 
 
52
  },
53
  "sources": [
54
  {
@@ -59,7 +69,7 @@
59
  ],
60
  "tensor_file": {
61
  "path": "dplm2_3b.safetensors",
62
- "sha256": "838b11824d08f83bcb0c0b3268e579f3a87dbfb965370cfe5c3f8793b96b1964"
63
  },
64
  "tensors": {
65
  "input__attention_mask": {
@@ -78,7 +88,7 @@
78
  126
79
  ]
80
  },
81
- "output__last_hidden_state": {
82
  "dtype": "float32",
83
  "sha256": "506a9e2ba51142f6653bd599f1025fa2e8f2d320d93a4c5505af464699c4549b",
84
  "shape": [
@@ -87,7 +97,7 @@
87
  2560
88
  ]
89
  },
90
- "output__logits": {
91
  "dtype": "float32",
92
  "sha256": "454a6a8b46a5e687f1338ca83d9e8c43414ffbabbdda905c6977dc168d0b1425",
93
  "shape": [
@@ -96,6 +106,24 @@
96
  8229
97
  ]
98
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
99
  "residue_mask": {
100
  "dtype": "bool",
101
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
 
15
  },
16
  "environment": {
17
  "details": {
18
+ "cuda_device": "unavailable",
19
+ "cuda_device_capability": "null",
20
+ "cuda_driver": "unavailable",
21
+ "cuda_runtime": "unavailable",
22
+ "cuda_total_memory": "null",
23
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
24
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
25
+ "platform_machine": "aarch64",
26
+ "python": "3.10.22",
27
+ "torch": "2.2.0",
28
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
29
  },
30
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
31
  },
32
  "generation_command": [
33
  "python",
 
38
  "--output-root",
39
  "tests/goldens",
40
  "--model",
41
+ "dplm2_3b",
42
+ "--official-bf16-golden-root",
43
+ "artifacts/reference/official_bf16_goldens"
44
  ],
45
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
46
  "limitations": [
 
55
  "model_id": "dplm2_3b",
56
  "schema_version": 1,
57
  "source_files": {
58
+ "native/fp32.safetensors": "e573082b7476b21c3f1c6cf8e8736bf0737783ae91b2a2ab5ddf76bcca958f9b",
59
+ "native/metadata.json": "35e6926cfbdfbd0dc498e5e2be7f4cde8b4d05d60056d6ec61e95a0bbf1c003d",
60
+ "official_bf16/dplm2_3b.json": "d6e0e02af53b13cb129192f06e264758aa21c9ebf4ee82411cf67037082d2329",
61
+ "official_bf16/dplm2_3b.safetensors": "838b11824d08f83bcb0c0b3268e579f3a87dbfb965370cfe5c3f8793b96b1964"
62
  },
63
  "sources": [
64
  {
 
69
  ],
70
  "tensor_file": {
71
  "path": "dplm2_3b.safetensors",
72
+ "sha256": "7490f771f8b8f8137b333f98d6b7dbd2cb48708c8649d4459279a6711b9e5870"
73
  },
74
  "tensors": {
75
  "input__attention_mask": {
 
88
  126
89
  ]
90
  },
91
+ "official_bf16__last_hidden_state": {
92
  "dtype": "float32",
93
  "sha256": "506a9e2ba51142f6653bd599f1025fa2e8f2d320d93a4c5505af464699c4549b",
94
  "shape": [
 
97
  2560
98
  ]
99
  },
100
+ "official_bf16__logits": {
101
  "dtype": "float32",
102
  "sha256": "454a6a8b46a5e687f1338ca83d9e8c43414ffbabbdda905c6977dc168d0b1425",
103
  "shape": [
 
106
  8229
107
  ]
108
  },
109
+ "output__last_hidden_state": {
110
+ "dtype": "float32",
111
+ "sha256": "f6b52c8a49e56cf8faf3a9426972f9bf737a5320370568261cfa34cc109915d4",
112
+ "shape": [
113
+ 3,
114
+ 126,
115
+ 2560
116
+ ]
117
+ },
118
+ "output__logits": {
119
+ "dtype": "float32",
120
+ "sha256": "8a9c10bc550b6d8dbfcb0b7b9995d4e9a2e0d53a48cf44e2827dee48d3b05a9d",
121
+ "shape": [
122
+ 3,
123
+ 126,
124
+ 8229
125
+ ]
126
+ },
127
  "residue_mask": {
128
  "dtype": "bool",
129
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
tests/goldens/dplm2_3b.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:838b11824d08f83bcb0c0b3268e579f3a87dbfb965370cfe5c3f8793b96b1964
3
- size 16319858
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7490f771f8b8f8137b333f98d6b7dbd2cb48708c8649d4459279a6711b9e5870
3
+ size 32633034
tests/goldens/dplm2_650m.json CHANGED
@@ -12,13 +12,19 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
16
- "cuda_runtime": "12.1",
17
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
18
- "python": "3.10.12",
19
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
20
  },
21
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
22
  },
23
  "generation_command": [
24
  "python",
@@ -29,14 +35,18 @@
29
  "--output-root",
30
  "tests/goldens",
31
  "--model",
32
- "dplm2_650m"
 
 
33
  ],
34
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
35
  "model_id": "dplm2_650m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "ef3369eb9d4ae7c143b7041212bfebf9531b5b75eb1eac4170e07126b9a28e8d",
39
- "native/metadata.json": "3fcb1766ae6a2dd7e676ee207dba22c5e73f666b827f63ed2eb44a41686313f6"
 
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +57,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "dplm2_650m.safetensors",
50
- "sha256": "c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +76,7 @@
66
  126
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "float32",
71
  "sha256": "cad36e84d72090e829c3398bc118ec628171d6abca7f2897afef3a9b733599f3",
72
  "shape": [
@@ -75,7 +85,7 @@
75
  1280
76
  ]
77
  },
78
- "output__logits": {
79
  "dtype": "float32",
80
  "sha256": "abe35860b57a618599cd0351e4640e6d2abfe95b8655242bff788b69ed53c2af",
81
  "shape": [
@@ -84,6 +94,24 @@
84
  8229
85
  ]
86
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
  "residue_mask": {
88
  "dtype": "bool",
89
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "unavailable",
16
+ "cuda_device_capability": "null",
17
+ "cuda_driver": "unavailable",
18
+ "cuda_runtime": "unavailable",
19
+ "cuda_total_memory": "null",
20
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
21
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
22
+ "platform_machine": "aarch64",
23
+ "python": "3.10.22",
24
+ "torch": "2.2.0",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
28
  },
29
  "generation_command": [
30
  "python",
 
35
  "--output-root",
36
  "tests/goldens",
37
  "--model",
38
+ "dplm2_650m",
39
+ "--official-bf16-golden-root",
40
+ "artifacts/reference/official_bf16_goldens"
41
  ],
42
  "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
43
  "model_id": "dplm2_650m",
44
  "schema_version": 1,
45
  "source_files": {
46
+ "native/fp32.safetensors": "cb837c5f7320cf29b20ffed2cdfec9ef6fd22cd90c97e9fa0ec007f9844e017c",
47
+ "native/metadata.json": "667a44f39ad07965e4866b323900593653451f82fdccf7e754838c503ba10906",
48
+ "official_bf16/dplm2_650m.json": "d9a7548f9af657a72d441ca70f27379863724fcce8ddd3da4f672104b7bfb772",
49
+ "official_bf16/dplm2_650m.safetensors": "c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac"
50
  },
51
  "sources": [
52
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "dplm2_650m.safetensors",
60
+ "sha256": "c45f4ca267183b11dd06244ed3c3f39cf5b6139f778733fa63a6e2b5a46b0678"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
 
76
  126
77
  ]
78
  },
79
+ "official_bf16__last_hidden_state": {
80
  "dtype": "float32",
81
  "sha256": "cad36e84d72090e829c3398bc118ec628171d6abca7f2897afef3a9b733599f3",
82
  "shape": [
 
85
  1280
86
  ]
87
  },
88
+ "official_bf16__logits": {
89
  "dtype": "float32",
90
  "sha256": "abe35860b57a618599cd0351e4640e6d2abfe95b8655242bff788b69ed53c2af",
91
  "shape": [
 
94
  8229
95
  ]
96
  },
97
+ "output__last_hidden_state": {
98
+ "dtype": "float32",
99
+ "sha256": "a739becd0fdc42f5faf4d2c47ffbf220beabd3edda72f03fd7bb81f108043103",
100
+ "shape": [
101
+ 3,
102
+ 126,
103
+ 1280
104
+ ]
105
+ },
106
+ "output__logits": {
107
+ "dtype": "float32",
108
+ "sha256": "d1a685bc064fa9604ed792cd3ce73dbeb71549329b735688b759fe6c3ea67b91",
109
+ "shape": [
110
+ 3,
111
+ 126,
112
+ 8229
113
+ ]
114
+ },
115
  "residue_mask": {
116
  "dtype": "bool",
117
  "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
tests/goldens/dplm2_650m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac
3
- size 14384498
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c45f4ca267183b11dd06244ed3c3f39cf5b6139f778733fa63a6e2b5a46b0678
3
+ size 28762314
tests/goldens/dplm_150m.json CHANGED
@@ -12,13 +12,19 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
16
- "cuda_runtime": "12.1",
17
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
18
- "python": "3.10.12",
19
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
20
  },
21
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
22
  },
23
  "generation_command": [
24
  "python",
@@ -29,14 +35,18 @@
29
  "--output-root",
30
  "tests/goldens",
31
  "--model",
32
- "dplm_150m"
 
 
33
  ],
34
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
35
  "model_id": "dplm_150m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "1e759d69828a34f943592cfc3f7f63d1976348d68636a922da6604fba5999a54",
39
- "native/metadata.json": "5937d1229c6af632bbcc66dc6312d5aa887621d1dd9915e68502ba1e2e68eaed"
 
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +57,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "dplm_150m.safetensors",
50
- "sha256": "392992235195beed97ab8359b90a2e11e52f4326606f99a471447bed81d146bd"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +76,7 @@
66
  63
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "float32",
71
  "sha256": "cc5e3aa17cdd7e3ec072e8c2411a4ca5649a7a65b26e04ed3ae82ed4eb5226bd",
72
  "shape": [
@@ -75,7 +85,7 @@
75
  640
76
  ]
77
  },
78
- "output__logits": {
79
  "dtype": "float32",
80
  "sha256": "763667a137def055ccf8cd87f1bcbcc1eea89ef3e3cff6bf0d3e1ea2ad70d4f8",
81
  "shape": [
@@ -84,6 +94,24 @@
84
  33
85
  ]
86
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
  "residue_mask": {
88
  "dtype": "bool",
89
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "unavailable",
16
+ "cuda_device_capability": "null",
17
+ "cuda_driver": "unavailable",
18
+ "cuda_runtime": "unavailable",
19
+ "cuda_total_memory": "null",
20
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
21
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
22
+ "platform_machine": "aarch64",
23
+ "python": "3.10.22",
24
+ "torch": "2.2.0",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
28
  },
29
  "generation_command": [
30
  "python",
 
35
  "--output-root",
36
  "tests/goldens",
37
  "--model",
38
+ "dplm_150m",
39
+ "--official-bf16-golden-root",
40
+ "artifacts/reference/official_bf16_goldens"
41
  ],
42
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
43
  "model_id": "dplm_150m",
44
  "schema_version": 1,
45
  "source_files": {
46
+ "native/fp32.safetensors": "43be9dcd82a98d4418f4d7d965fcebded14bcf31454906540b324b47adfff85f",
47
+ "native/metadata.json": "3df4775f222054632cab6e044e8c9edebecc876255535ce032bb9c1e0aea5aee",
48
+ "official_bf16/dplm_150m.json": "3228551fe3bed951db9ec97347143ec4462ce7c221ac240b7ce7730948c1dc1f",
49
+ "official_bf16/dplm_150m.safetensors": "392992235195beed97ab8359b90a2e11e52f4326606f99a471447bed81d146bd"
50
  },
51
  "sources": [
52
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "dplm_150m.safetensors",
60
+ "sha256": "f8e4ddd580d4708dad2d7da002735b2a01d69ece478c46c4932eb2f3933dc836"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
 
76
  63
77
  ]
78
  },
79
+ "official_bf16__last_hidden_state": {
80
  "dtype": "float32",
81
  "sha256": "cc5e3aa17cdd7e3ec072e8c2411a4ca5649a7a65b26e04ed3ae82ed4eb5226bd",
82
  "shape": [
 
85
  640
86
  ]
87
  },
88
+ "official_bf16__logits": {
89
  "dtype": "float32",
90
  "sha256": "763667a137def055ccf8cd87f1bcbcc1eea89ef3e3cff6bf0d3e1ea2ad70d4f8",
91
  "shape": [
 
94
  33
95
  ]
96
  },
97
+ "output__last_hidden_state": {
98
+ "dtype": "float32",
99
+ "sha256": "b9654994387372fe08bdba70688905205cf0e0cd26b8c6587fd92481db379513",
100
+ "shape": [
101
+ 3,
102
+ 63,
103
+ 640
104
+ ]
105
+ },
106
+ "output__logits": {
107
+ "dtype": "float32",
108
+ "sha256": "feaa514f04de29072218eac2ed458daf37e80690498e3fc1e42c42c26e4141b7",
109
+ "shape": [
110
+ 3,
111
+ 63,
112
+ 33
113
+ ]
114
+ },
115
  "residue_mask": {
116
  "dtype": "bool",
117
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/dplm_150m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:392992235195beed97ab8359b90a2e11e52f4326606f99a471447bed81d146bd
3
- size 512449
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8e4ddd580d4708dad2d7da002735b2a01d69ece478c46c4932eb2f3933dc836
3
+ size 1021437
tests/goldens/dplm_3b.json CHANGED
@@ -15,13 +15,19 @@
15
  },
16
  "environment": {
17
  "details": {
18
- "cuda_device": "NVIDIA H100 PCIe",
19
- "cuda_runtime": "12.1",
20
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
21
- "python": "3.10.12",
22
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
23
  },
24
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
25
  },
26
  "generation_command": [
27
  "python",
@@ -32,14 +38,18 @@
32
  "--output-root",
33
  "tests/goldens",
34
  "--model",
35
- "dplm_3b"
 
 
36
  ],
37
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
38
  "model_id": "dplm_3b",
39
  "schema_version": 1,
40
  "source_files": {
41
- "native/bf16.safetensors": "09a98566251cafbdc6daceb9520adcba54430354aa4521e64aaefd04abf46db1",
42
- "native/metadata.json": "953287da8d2b74557f718091b10617e100a1e17292a436f483ad03b6cccef7f0"
 
 
43
  },
44
  "sources": [
45
  {
@@ -50,7 +60,7 @@
50
  ],
51
  "tensor_file": {
52
  "path": "dplm_3b.safetensors",
53
- "sha256": "75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e"
54
  },
55
  "tensors": {
56
  "input__attention_mask": {
@@ -69,7 +79,7 @@
69
  63
70
  ]
71
  },
72
- "output__last_hidden_state": {
73
  "dtype": "float32",
74
  "sha256": "7bd04473fafb3b2b78862690864be2ccfefbed12fdc3cd63162cd652cc292c06",
75
  "shape": [
@@ -78,7 +88,7 @@
78
  2560
79
  ]
80
  },
81
- "output__logits": {
82
  "dtype": "float32",
83
  "sha256": "ece5b588a39984172a16a3b10a23b79163a94fad65efd63c52228e7440dd7132",
84
  "shape": [
@@ -87,6 +97,24 @@
87
  33
88
  ]
89
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
90
  "residue_mask": {
91
  "dtype": "bool",
92
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
15
  },
16
  "environment": {
17
  "details": {
18
+ "cuda_device": "unavailable",
19
+ "cuda_device_capability": "null",
20
+ "cuda_driver": "unavailable",
21
+ "cuda_runtime": "unavailable",
22
+ "cuda_total_memory": "null",
23
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
24
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
25
+ "platform_machine": "aarch64",
26
+ "python": "3.10.22",
27
+ "torch": "2.2.0",
28
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
29
  },
30
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
31
  },
32
  "generation_command": [
33
  "python",
 
38
  "--output-root",
39
  "tests/goldens",
40
  "--model",
41
+ "dplm_3b",
42
+ "--official-bf16-golden-root",
43
+ "artifacts/reference/official_bf16_goldens"
44
  ],
45
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
46
  "model_id": "dplm_3b",
47
  "schema_version": 1,
48
  "source_files": {
49
+ "native/fp32.safetensors": "0dff5627cbf842020ea8b1f148597d99b767aaa44f65cb28f9239f5558bbd829",
50
+ "native/metadata.json": "9f5421b62b48e67df7cae077a9f7671579674fdf68f6e4ac5f6b2f8646bf5219",
51
+ "official_bf16/dplm_3b.json": "a5b6df8b9c7b371976892ec1d6c45581a32ad3a6325c6c0a0b3267012848c8ed",
52
+ "official_bf16/dplm_3b.safetensors": "75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e"
53
  },
54
  "sources": [
55
  {
 
60
  ],
61
  "tensor_file": {
62
  "path": "dplm_3b.safetensors",
63
+ "sha256": "6942218079232a8185b1ae6e1578474c7784722e28f528b76ec89ca77777e2b9"
64
  },
65
  "tensors": {
66
  "input__attention_mask": {
 
79
  63
80
  ]
81
  },
82
+ "official_bf16__last_hidden_state": {
83
  "dtype": "float32",
84
  "sha256": "7bd04473fafb3b2b78862690864be2ccfefbed12fdc3cd63162cd652cc292c06",
85
  "shape": [
 
88
  2560
89
  ]
90
  },
91
+ "official_bf16__logits": {
92
  "dtype": "float32",
93
  "sha256": "ece5b588a39984172a16a3b10a23b79163a94fad65efd63c52228e7440dd7132",
94
  "shape": [
 
97
  33
98
  ]
99
  },
100
+ "output__last_hidden_state": {
101
+ "dtype": "float32",
102
+ "sha256": "53a4370f711bbbd0c72affe531ee36b7f03cc3ce620d7dba7ac7687b411f21d5",
103
+ "shape": [
104
+ 3,
105
+ 63,
106
+ 2560
107
+ ]
108
+ },
109
+ "output__logits": {
110
+ "dtype": "float32",
111
+ "sha256": "6f99c3f4acb357842f86390c0c4ced439bf7e1cef1d175ce498dae6112555054",
112
+ "shape": [
113
+ 3,
114
+ 63,
115
+ 33
116
+ ]
117
+ },
118
  "residue_mask": {
119
  "dtype": "bool",
120
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/dplm_3b.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e
3
- size 1963977
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6942218079232a8185b1ae6e1578474c7784722e28f528b76ec89ca77777e2b9
3
+ size 3924485
tests/goldens/dplm_650m.json CHANGED
@@ -12,13 +12,19 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
16
- "cuda_runtime": "12.1",
17
- "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.14.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.1\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.18.5\",\"annotated-types\":\"0.7.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"black\":\"26.5.1\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.6.17\",\"cfgv\":\"3.5.0\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"2.1.1\",\"click\":\"8.4.2\",\"cliff\":\"4.14.0\",\"cmaes\":\"0.13.0\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.10.1\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"debugpy\":\"1.8.21\",\"deepspeed\":\"0.14.4\",\"dill\":\"0.3.8\",\"distlib\":\"0.4.3\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"fastjsonschema\":\"2.21.2\",\"filelock\":\"3.29.0\",\"flake8\":\"7.3.0\",\"fonttools\":\"4.63.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.3\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.82.1\",\"hf-xet\":\"1.5.1\",\"hjson\":\"3.1.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"identify\":\"2.6.19\",\"idna\":\"3.4\",\"ihm\":\"2.11\",\"iniconfig\":\"2.3.0\",\"isort\":\"8.0.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.5.3\",\"jsonschema\":\"4.26.0\",\"jsonschema-specifications\":\"2025.9.1\",\"jupyter_core\":\"5.9.1\",\"kiwisolver\":\"1.5.0\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"2.3.0\",\"mako\":\"1.3.12\",\"markdown\":\"3.10.2\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.10.9\",\"mccabe\":\"0.7.0\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.7\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.1\",\"multidict\":\"6.7.1\",\"multiprocess\":\"0.70.16\",\"mypy_extensions\":\"1.1.0\",\"nbformat\":\"5.10.4\",\"nbstripout\":\"0.9.1\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"ninja\":\"1.13.0\",\"nodeenv\":\"1.10.0\",\"numpy\":\"1.26.4\",\"nvidia-cublas-cu12\":\"12.1.3.1\",\"nvidia-cuda-cupti-cu12\":\"12.1.105\",\"nvidia-cuda-nvrtc-cu12\":\"12.1.105\",\"nvidia-cuda-runtime-cu12\":\"12.1.105\",\"nvidia-cudnn-cu12\":\"8.9.2.26\",\"nvidia-cufft-cu12\":\"11.0.2.54\",\"nvidia-curand-cu12\":\"10.3.2.106\",\"nvidia-cusolver-cu12\":\"11.4.5.107\",\"nvidia-cusparse-cu12\":\"12.1.0.106\",\"nvidia-ml-py\":\"13.610.43\",\"nvidia-nccl-cu12\":\"2.19.3\",\"nvidia-nvjitlink-cu12\":\"12.9.86\",\"nvidia-nvtx-cu12\":\"12.1.105\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"parso\":\"0.8.7\",\"pathspec\":\"1.1.1\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"pre_commit\":\"4.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.2\",\"protobuf\":\"7.35.1\",\"psutil\":\"7.2.2\",\"pudb\":\"2025.1.5\",\"py-cpuinfo\":\"9.0.0\",\"pyarrow\":\"25.0.0\",\"pyarrow-hotfix\":\"0.7\",\"pycodestyle\":\"2.14.0\",\"pydantic\":\"2.13.4\",\"pydantic_core\":\"2.46.4\",\"pyflakes\":\"3.4.0\",\"pygments\":\"2.20.0\",\"pyparsing\":\"3.3.2\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-discovery\":\"1.4.4\",\"python-dotenv\":\"1.2.2\",\"pytokens\":\"0.4.1\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.2\",\"pyyaml\":\"6.0.3\",\"referencing\":\"0.37.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"rpds-py\":\"0.30.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"59.6.0\",\"sh\":\"2.3.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.51\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.6.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.4.1\",\"torch\":\"2.2.0+cu121\",\"torch-geometric\":\"2.8.0\",\"torch_scatter\":\"2.1.2+pt22cu121\",\"torchdata\":\"0.7.1\",\"torchmetrics\":\"1.9.0\",\"torchtext\":\"0.17.0+cpu\",\"tqdm\":\"4.66.5\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.39.2\",\"triton\":\"2.2.0\",\"typing-inspection\":\"0.4.2\",\"typing_extensions\":\"4.15.0\",\"tzdata\":\"2026.3\",\"urllib3\":\"1.26.13\",\"urwid\":\"4.0.4\",\"urwid_readline\":\"0.15.1\",\"virtualenv\":\"21.6.1\",\"wcwidth\":\"0.8.2\",\"werkzeug\":\"3.1.8\",\"wrapt\":\"2.2.2\",\"xxhash\":\"3.8.1\",\"yarl\":\"1.24.2\"}",
18
- "python": "3.10.12",
19
- "torch": "2.2.0+cu121"
 
 
 
 
 
 
20
  },
21
- "fingerprint": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
22
  },
23
  "generation_command": [
24
  "python",
@@ -29,14 +35,18 @@
29
  "--output-root",
30
  "tests/goldens",
31
  "--model",
32
- "dplm_650m"
 
 
33
  ],
34
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
35
  "model_id": "dplm_650m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "ae328ef52a23b5f741389343aeee3f2e9aeb3dee239f88cbb010e51462160e8c",
39
- "native/metadata.json": "e64e455ff06879ae6bed50586c348617757a0257f6b77a39669aab8b1fc39a63"
 
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +57,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "dplm_650m.safetensors",
50
- "sha256": "073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,7 +76,7 @@
66
  63
67
  ]
68
  },
69
- "output__last_hidden_state": {
70
  "dtype": "float32",
71
  "sha256": "d0a0c5607de8dca67c4bd94f1c4774f100e0ba7cb8e261ace5af2fcec66b7d35",
72
  "shape": [
@@ -75,7 +85,7 @@
75
  1280
76
  ]
77
  },
78
- "output__logits": {
79
  "dtype": "float32",
80
  "sha256": "30ba6b9275ff1c61e8aacf76024657c50eb2d7bff1908fe86b64d449eb4aae4e",
81
  "shape": [
@@ -84,6 +94,24 @@
84
  33
85
  ]
86
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
  "residue_mask": {
88
  "dtype": "bool",
89
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "unavailable",
16
+ "cuda_device_capability": "null",
17
+ "cuda_driver": "unavailable",
18
+ "cuda_runtime": "unavailable",
19
+ "cuda_total_memory": "null",
20
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.1\",\"packages\":\"{\\\"absl-py\\\":\\\"2.5.0\\\",\\\"accelerate\\\":\\\"1.14.0\\\",\\\"aiohappyeyeballs\\\":\\\"2.7.1\\\",\\\"aiohttp\\\":\\\"3.14.1\\\",\\\"aiosignal\\\":\\\"1.4.0\\\",\\\"alembic\\\":\\\"1.18.5\\\",\\\"annotated-types\\\":\\\"0.7.0\\\",\\\"antlr4-python3-runtime\\\":\\\"4.9.3\\\",\\\"async-timeout\\\":\\\"5.0.1\\\",\\\"attrs\\\":\\\"26.1.0\\\",\\\"autopage\\\":\\\"0.6.0\\\",\\\"backports.strenum\\\":\\\"1.3.1\\\",\\\"biopython\\\":\\\"1.79\\\",\\\"biotite\\\":\\\"1.2.0\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"black\\\":\\\"26.5.1\\\",\\\"byprot\\\":\\\"1.0.0\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"cfgv\\\":\\\"3.5.0\\\",\\\"cftime\\\":\\\"1.6.5\\\",\\\"charset-normalizer\\\":\\\"2.1.1\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"cliff\\\":\\\"4.14.0\\\",\\\"cmaes\\\":\\\"0.13.0\\\",\\\"cmd2\\\":\\\"3.5.1\\\",\\\"colorlog\\\":\\\"6.10.1\\\",\\\"contourpy\\\":\\\"1.3.2\\\",\\\"cycler\\\":\\\"0.12.1\\\",\\\"datasets\\\":\\\"2.20.0\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"deepspeed\\\":\\\"0.14.4\\\",\\\"dill\\\":\\\"0.3.8\\\",\\\"distlib\\\":\\\"0.4.3\\\",\\\"dm-tree\\\":\\\"0.1.10\\\",\\\"e3nn\\\":\\\"0.6.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"exceptiongroup\\\":\\\"1.3.1\\\",\\\"fair-esm\\\":\\\"2.0.0\\\",\\\"fastjsonschema\\\":\\\"2.21.2\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"flake8\\\":\\\"7.3.0\\\",\\\"fonttools\\\":\\\"4.63.0\\\",\\\"frozenlist\\\":\\\"1.8.0\\\",\\\"fsspec\\\":\\\"2024.5.0\\\",\\\"greenlet\\\":\\\"3.5.3\\\",\\\"griddataformats\\\":\\\"1.0.2\\\",\\\"grpcio\\\":\\\"1.82.1\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"hjson\\\":\\\"3.1.0\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"hydra-colorlog\\\":\\\"1.2.0\\\",\\\"hydra-core\\\":\\\"1.2.0\\\",\\\"hydra-optuna-sweeper\\\":\\\"1.2.0\\\",\\\"identify\\\":\\\"2.6.19\\\",\\\"idna\\\":\\\"3.4\\\",\\\"ihm\\\":\\\"2.11\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"isort\\\":\\\"8.0.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"joblib\\\":\\\"1.5.3\\\",\\\"jsonschema\\\":\\\"4.26.0\\\",\\\"jsonschema-specifications\\\":\\\"2025.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kiwisolver\\\":\\\"1.5.0\\\",\\\"lightning\\\":\\\"2.2.0\\\",\\\"lightning-utilities\\\":\\\"0.15.3\\\",\\\"lmdb\\\":\\\"2.3.0\\\",\\\"mako\\\":\\\"1.3.12\\\",\\\"markdown\\\":\\\"3.10.2\\\",\\\"markdown-it-py\\\":\\\"4.2.0\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib\\\":\\\"3.10.9\\\",\\\"mccabe\\\":\\\"0.7.0\\\",\\\"mda-xdrlib\\\":\\\"0.2.0\\\",\\\"mdanalysis\\\":\\\"2.9.0\\\",\\\"mdtraj\\\":\\\"1.10.3\\\",\\\"mdurl\\\":\\\"0.1.2\\\",\\\"ml_collections\\\":\\\"1.1.0\\\",\\\"mmtf-python\\\":\\\"1.1.3\\\",\\\"modelcif\\\":\\\"1.7\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"mrcfile\\\":\\\"1.5.4\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"multidict\\\":\\\"6.7.1\\\",\\\"multiprocess\\\":\\\"0.70.16\\\",\\\"mypy_extensions\\\":\\\"1.1.0\\\",\\\"nbformat\\\":\\\"5.10.4\\\",\\\"nbstripout\\\":\\\"0.9.1\\\",\\\"netcdf4\\\":\\\"1.7.4\\\",\\\"networkx\\\":\\\"3.4.2\\\",\\\"ninja\\\":\\\"1.13.0\\\",\\\"nodeenv\\\":\\\"1.10.0\\\",\\\"numpy\\\":\\\"1.26.4\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.1.3.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.1.105\\\",\\\"nvidia-cudnn-cu12\\\":\\\"8.9.2.26\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.0.2.54\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.2.106\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.4.5.107\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.1.0.106\\\",\\\"nvidia-ml-py\\\":\\\"13.610.43\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.19.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.9.86\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.1.105\\\",\\\"omegaconf\\\":\\\"2.3.1\\\",\\\"opt-einsum-fx\\\":\\\"0.1.4\\\",\\\"opt_einsum\\\":\\\"3.4.0\\\",\\\"optuna\\\":\\\"2.10.1\\\",\\\"packaging\\\":\\\"24.2\\\",\\\"pandas\\\":\\\"2.3.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pathspec\\\":\\\"1.1.1\\\",\\\"peft\\\":\\\"0.11.1\\\",\\\"pillow\\\":\\\"12.3.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"pre_commit\\\":\\\"4.6.0\\\",\\\"prettytable\\\":\\\"3.18.0\\\",\\\"propcache\\\":\\\"0.5.2\\\",\\\"protobuf\\\":\\\"7.35.1\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"pudb\\\":\\\"2025.1.5\\\",\\\"py-cpuinfo\\\":\\\"9.0.0\\\",\\\"pyarrow\\\":\\\"25.0.0\\\",\\\"pyarrow-hotfix\\\":\\\"0.7\\\",\\\"pycodestyle\\\":\\\"2.14.0\\\",\\\"pydantic\\\":\\\"2.13.4\\\",\\\"pydantic_core\\\":\\\"2.46.4\\\",\\\"pyflakes\\\":\\\"3.4.0\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pyparsing\\\":\\\"3.3.2\\\",\\\"pyperclip\\\":\\\"1.11.0\\\",\\\"pyrootutils\\\":\\\"1.0.4\\\",\\\"pytest\\\":\\\"9.1.1\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"python-discovery\\\":\\\"1.4.4\\\",\\\"python-dotenv\\\":\\\"1.2.2\\\",\\\"pytokens\\\":\\\"0.4.1\\\",\\\"pytorch-lightning\\\":\\\"2.2.0\\\",\\\"pytz\\\":\\\"2026.2\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"referencing\\\":\\\"0.37.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"rich\\\":\\\"15.0.0\\\",\\\"rich-argparse\\\":\\\"1.8.0\\\",\\\"rpds-py\\\":\\\"0.30.0\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scikit-learn\\\":\\\"1.7.2\\\",\\\"scipy\\\":\\\"1.15.3\\\",\\\"seaborn\\\":\\\"0.13.2\\\",\\\"setuptools\\\":\\\"59.6.0\\\",\\\"sh\\\":\\\"2.3.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"sqlalchemy\\\":\\\"2.0.51\\\",\\\"stevedore\\\":\\\"5.8.0\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tensorboard\\\":\\\"2.21.0\\\",\\\"tensorboard-data-server\\\":\\\"0.7.2\\\",\\\"threadpoolctl\\\":\\\"3.6.0\\\",\\\"tmtools\\\":\\\"0.3.0\\\",\\\"tokenizers\\\":\\\"0.15.2\\\",\\\"tomli\\\":\\\"2.4.1\\\",\\\"torch\\\":\\\"2.2.0+cu121\\\",\\\"torch-geometric\\\":\\\"2.8.0\\\",\\\"torch_scatter\\\":\\\"2.1.2+pt22cu121\\\",\\\"torchdata\\\":\\\"0.7.1\\\",\\\"torchmetrics\\\":\\\"1.9.0\\\",\\\"torchtext\\\":\\\"0.17.0+cpu\\\",\\\"tqdm\\\":\\\"4.66.5\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.39.2\\\",\\\"triton\\\":\\\"2.2.0\\\",\\\"typing-inspection\\\":\\\"0.4.2\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"tzdata\\\":\\\"2026.3\\\",\\\"urllib3\\\":\\\"1.26.13\\\",\\\"urwid\\\":\\\"4.0.4\\\",\\\"urwid_readline\\\":\\\"0.15.1\\\",\\\"virtualenv\\\":\\\"21.6.1\\\",\\\"wcwidth\\\":\\\"0.8.2\\\",\\\"werkzeug\\\":\\\"3.1.8\\\",\\\"wrapt\\\":\\\"2.2.2\\\",\\\"xxhash\\\":\\\"3.8.1\\\",\\\"yarl\\\":\\\"1.24.2\\\"}\",\"python\":\"3.10.12\",\"torch\":\"2.2.0+cu121\"}",
21
+ "packages": "{\"absl-py\":\"2.5.0\",\"accelerate\":\"1.15.0\",\"aiohappyeyeballs\":\"2.7.1\",\"aiohttp\":\"3.14.4\",\"aiosignal\":\"1.4.0\",\"alembic\":\"1.20.0\",\"antlr4-python3-runtime\":\"4.9.3\",\"async-timeout\":\"5.0.1\",\"attrs\":\"26.1.0\",\"autocommand\":\"2.2.2\",\"autopage\":\"0.6.0\",\"backports.strenum\":\"1.3.1\",\"backports.tarfile\":\"1.2.0\",\"biopython\":\"1.79\",\"biotite\":\"1.2.0\",\"biotraj\":\"1.2.2\",\"byprot\":\"1.0.0\",\"certifi\":\"2026.7.22\",\"cftime\":\"1.6.5\",\"charset-normalizer\":\"3.5.2\",\"cliff\":\"4.14.0\",\"cloudpickle\":\"3.1.2\",\"cmaes\":\"0.13.1\",\"cmd2\":\"3.5.1\",\"colorlog\":\"6.12.0\",\"contourpy\":\"1.3.2\",\"cycler\":\"0.12.1\",\"datasets\":\"2.20.0\",\"dill\":\"0.3.8\",\"dm-tree\":\"0.1.10\",\"e3nn\":\"0.6.0\",\"einops\":\"0.8.2\",\"exceptiongroup\":\"1.3.1\",\"fair-esm\":\"2.0.0\",\"filelock\":\"4.0.12\",\"fonttools\":\"4.65.0\",\"frozenlist\":\"1.8.0\",\"fsspec\":\"2024.5.0\",\"greenlet\":\"3.5.6\",\"griddataformats\":\"1.0.2\",\"grpcio\":\"1.84.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"hydra-colorlog\":\"1.2.0\",\"hydra-core\":\"1.2.0\",\"hydra-optuna-sweeper\":\"1.2.0\",\"idna\":\"3.20\",\"ihm\":\"2.12\",\"importlib_metadata\":\"8.0.0\",\"inflect\":\"7.3.1\",\"iniconfig\":\"2.3.1\",\"jaraco.collections\":\"5.1.0\",\"jaraco.context\":\"5.3.0\",\"jaraco.functools\":\"4.0.1\",\"jaraco.text\":\"3.12.1\",\"jinja2\":\"3.1.6\",\"joblib\":\"1.6.0\",\"kiwisolver\":\"1.5.1\",\"lightning\":\"2.2.0\",\"lightning-utilities\":\"0.15.3\",\"lmdb\":\"3.0.0\",\"mako\":\"1.4.3\",\"markdown\":\"3.10.3\",\"markdown-it-py\":\"4.2.0\",\"markupsafe\":\"3.0.4\",\"matplotlib\":\"3.10.9\",\"mda-xdrlib\":\"0.2.0\",\"mdanalysis\":\"2.9.0\",\"mdtraj\":\"1.10.3\",\"mdurl\":\"0.1.2\",\"ml_collections\":\"1.1.0\",\"mmtf-python\":\"1.1.3\",\"modelcif\":\"1.8\",\"more-itertools\":\"10.3.0\",\"mpmath\":\"1.3.0\",\"mrcfile\":\"1.5.4\",\"msgpack\":\"1.2.3\",\"multidict\":\"6.9.1\",\"multiprocess\":\"0.70.16\",\"netcdf4\":\"1.7.4\",\"networkx\":\"3.4.2\",\"numpy\":\"1.26.4\",\"omegaconf\":\"2.3.1\",\"opt-einsum-fx\":\"0.1.4\",\"opt_einsum\":\"3.4.0\",\"optuna\":\"2.10.1\",\"packaging\":\"24.2\",\"pandas\":\"2.3.3\",\"peft\":\"0.11.1\",\"pillow\":\"12.3.0\",\"pip\":\"23.0.1\",\"platformdirs\":\"4.2.2\",\"pluggy\":\"1.6.0\",\"prettytable\":\"3.18.0\",\"propcache\":\"0.5.4\",\"protobuf\":\"7.36.2\",\"psutil\":\"7.2.2\",\"pyarrow\":\"25.0.1\",\"pyarrow-hotfix\":\"0.7\",\"pygments\":\"2.21.0\",\"pyparsing\":\"3.3.3\",\"pyperclip\":\"1.11.0\",\"pyrootutils\":\"1.0.4\",\"pytest\":\"9.1.1\",\"python-dateutil\":\"2.9.0.post0\",\"python-dotenv\":\"1.2.4\",\"pytorch-lightning\":\"2.2.0\",\"pytz\":\"2026.5\",\"pyyaml\":\"6.0.3\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"rich\":\"15.0.0\",\"rich-argparse\":\"1.8.0\",\"safetensors\":\"0.6.2\",\"scikit-learn\":\"1.7.2\",\"scipy\":\"1.15.3\",\"seaborn\":\"0.13.2\",\"setuptools\":\"79.0.1\",\"sh\":\"2.4.0\",\"six\":\"1.17.0\",\"sqlalchemy\":\"2.0.54\",\"stevedore\":\"5.8.0\",\"sympy\":\"1.14.0\",\"tensorboard\":\"2.21.0\",\"tensorboard-data-server\":\"0.7.2\",\"threadpoolctl\":\"3.7.0\",\"tmtools\":\"0.3.0\",\"tokenizers\":\"0.15.2\",\"tomli\":\"2.0.1\",\"torch\":\"2.2.0\",\"torch-geometric\":\"2.8.0.post1\",\"torchmetrics\":\"1.9.0\",\"tqdm\":\"4.70.1\",\"transformers\":\"4.39.2\",\"typeguard\":\"4.3.0\",\"typing_extensions\":\"4.12.2\",\"tzdata\":\"2026.5\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\",\"werkzeug\":\"3.1.9\",\"wheel\":\"0.45.1\",\"wrapt\":\"2.5.0\",\"xxhash\":\"4.0.1\",\"yarl\":\"1.25.1\",\"zipp\":\"3.19.2\"}",
22
+ "platform_machine": "aarch64",
23
+ "python": "3.10.22",
24
+ "torch": "2.2.0",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
28
  },
29
  "generation_command": [
30
  "python",
 
35
  "--output-root",
36
  "tests/goldens",
37
  "--model",
38
+ "dplm_650m",
39
+ "--official-bf16-golden-root",
40
+ "artifacts/reference/official_bf16_goldens"
41
  ],
42
  "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
43
  "model_id": "dplm_650m",
44
  "schema_version": 1,
45
  "source_files": {
46
+ "native/fp32.safetensors": "72f7208b74cac4da1cc84c9a2468dea932c3006fb2825bb6bb599970434c4f74",
47
+ "native/metadata.json": "9a708dc9a60d39010df85e0bb83d26e332d5f8aa6c0d01b7a0c1593207157882",
48
+ "official_bf16/dplm_650m.json": "bf58d0ce73aaac7e6fb1923ef3d9adad67122df2a3dd414c3229488ef9587a6d",
49
+ "official_bf16/dplm_650m.safetensors": "073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378"
50
  },
51
  "sources": [
52
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "dplm_650m.safetensors",
60
+ "sha256": "70e2c46ed722942d3b628b556b92c9994688cb4853b278eb1e40a3dfbbd9dfc4"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
 
76
  63
77
  ]
78
  },
79
+ "official_bf16__last_hidden_state": {
80
  "dtype": "float32",
81
  "sha256": "d0a0c5607de8dca67c4bd94f1c4774f100e0ba7cb8e261ace5af2fcec66b7d35",
82
  "shape": [
 
85
  1280
86
  ]
87
  },
88
+ "official_bf16__logits": {
89
  "dtype": "float32",
90
  "sha256": "30ba6b9275ff1c61e8aacf76024657c50eb2d7bff1908fe86b64d449eb4aae4e",
91
  "shape": [
 
94
  33
95
  ]
96
  },
97
+ "output__last_hidden_state": {
98
+ "dtype": "float32",
99
+ "sha256": "5a296266331309cbd54247557301a2eae0f83a4de20fd256b6407c6384367931",
100
+ "shape": [
101
+ 3,
102
+ 63,
103
+ 1280
104
+ ]
105
+ },
106
+ "output__logits": {
107
+ "dtype": "float32",
108
+ "sha256": "a9ba51336ba67f559893f3b702c6c137a10d02b746c8afcae2535f6d963ff023",
109
+ "shape": [
110
+ 3,
111
+ 63,
112
+ 33
113
+ ]
114
+ },
115
  "residue_mask": {
116
  "dtype": "bool",
117
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/dplm_650m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378
3
- size 996297
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70e2c46ed722942d3b628b556b92c9994688cb4853b278eb1e40a3dfbbd9dfc4
3
+ size 1989117
tests/goldens/e1_150m.json CHANGED
@@ -9,13 +9,19 @@
9
  },
10
  "environment": {
11
  "details": {
12
- "cuda_device": "NVIDIA H100 PCIe",
13
- "cuda_runtime": "12.8",
14
- "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"click\":\"8.4.2\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.21\",\"decorator\":\"5.3.1\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipykernel\":\"7.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.9.1\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"nest-asyncio2\":\"1.7.2\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.1\",\"nvidia-cublas-cu12\":\"12.8.4.1\",\"nvidia-cuda-cupti-cu12\":\"12.8.90\",\"nvidia-cuda-nvrtc-cu12\":\"12.8.93\",\"nvidia-cuda-runtime-cu12\":\"12.8.90\",\"nvidia-cudnn-cu12\":\"9.10.2.21\",\"nvidia-cufft-cu12\":\"11.3.3.83\",\"nvidia-cufile-cu12\":\"1.13.1.3\",\"nvidia-curand-cu12\":\"10.3.9.90\",\"nvidia-cusolver-cu12\":\"11.7.3.90\",\"nvidia-cusparse-cu12\":\"12.5.8.93\",\"nvidia-cusparselt-cu12\":\"0.7.1\",\"nvidia-nccl-cu12\":\"2.27.3\",\"nvidia-nvjitlink-cu12\":\"12.8.93\",\"nvidia-nvtx-cu12\":\"12.8.90\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"polars\":\"1.42.1\",\"polars-runtime-32\":\"1.42.1\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.1.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.0\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cu128\",\"tornado\":\"6.5.7\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.56.2\",\"triton\":\"3.4.0\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\"}",
15
- "python": "3.12.3",
16
- "torch": "2.8.0+cu128"
 
 
 
 
 
 
17
  },
18
- "fingerprint": "190e7e4a5c17d3b86756f71b7788e6bed7a86716fe1a987cc06009dfa54ebee9"
19
  },
20
  "generation_command": [
21
  "python",
@@ -26,14 +32,18 @@
26
  "--output-root",
27
  "tests/goldens",
28
  "--model",
29
- "e1_150m"
 
 
30
  ],
31
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
32
  "model_id": "e1_150m",
33
  "schema_version": 1,
34
  "source_files": {
35
- "native/bf16.safetensors": "85cf08b83e1d5026cb6534d4000796440b0cc1f49f53adabdb798c289aa4f48c",
36
- "native/metadata.json": "73f52ea3dc06148a766aa7ce0a9261b38c7c634e810399c0e46c9956bdadff42"
 
 
37
  },
38
  "sources": [
39
  {
@@ -44,7 +54,7 @@
44
  ],
45
  "tensor_file": {
46
  "path": "e1_150m.safetensors",
47
- "sha256": "6558bc8f1a7b20629eaaaa6f72601d0c2cdb859a5dc13595549b1773b6e2de41"
48
  },
49
  "tensors": {
50
  "input__global_position_ids": {
@@ -79,7 +89,7 @@
79
  65
80
  ]
81
  },
82
- "output__last_hidden_state": {
83
  "dtype": "bfloat16",
84
  "sha256": "52e65a4d037775956a7a65cc4d78ffbbb54d66f06be3695c55ed9f5cebee1efe",
85
  "shape": [
@@ -88,7 +98,7 @@
88
  768
89
  ]
90
  },
91
- "output__logits": {
92
  "dtype": "float32",
93
  "sha256": "37a7e36f520330df7364f9f17c2a40fb1a0aae853312eee2b7e210533f6ccdb9",
94
  "shape": [
@@ -97,6 +107,24 @@
97
  34
98
  ]
99
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "residue_mask": {
101
  "dtype": "bool",
102
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
 
9
  },
10
  "environment": {
11
  "details": {
12
+ "cuda_device": "unavailable",
13
+ "cuda_device_capability": "null",
14
+ "cuda_driver": "unavailable",
15
+ "cuda_runtime": "unavailable",
16
+ "cuda_total_memory": "null",
17
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.8\",\"packages\":\"{\\\"asttokens\\\":\\\"3.0.2\\\",\\\"biotite\\\":\\\"1.7.1\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"charset-normalizer\\\":\\\"3.4.9\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"comm\\\":\\\"0.2.3\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"decorator\\\":\\\"5.3.1\\\",\\\"e1\\\":\\\"1.0.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"executing\\\":\\\"2.2.1\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"fsspec\\\":\\\"2026.4.0\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"idna\\\":\\\"3.18\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"ipykernel\\\":\\\"7.3.0\\\",\\\"ipython\\\":\\\"9.15.0\\\",\\\"ipython_pygments_lexers\\\":\\\"1.1.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"jupyter_client\\\":\\\"8.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kernels\\\":\\\"0.12.3\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib-inline\\\":\\\"0.2.2\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"nest-asyncio2\\\":\\\"1.7.2\\\",\\\"networkx\\\":\\\"3.6.1\\\",\\\"numpy\\\":\\\"2.5.1\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.8.4.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cudnn-cu12\\\":\\\"9.10.2.21\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.3.3.83\\\",\\\"nvidia-cufile-cu12\\\":\\\"1.13.1.3\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.9.90\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.7.3.90\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.5.8.93\\\",\\\"nvidia-cusparselt-cu12\\\":\\\"0.7.1\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.27.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.8.90\\\",\\\"packaging\\\":\\\"26.2\\\",\\\"pandas\\\":\\\"3.0.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pexpect\\\":\\\"4.9.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"polars\\\":\\\"1.42.1\\\",\\\"polars-runtime-32\\\":\\\"1.42.1\\\",\\\"prompt_toolkit\\\":\\\"3.0.52\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"ptyprocess\\\":\\\"0.7.0\\\",\\\"pure_eval\\\":\\\"0.2.3\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pytest\\\":\\\"8.4.2\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"pyzmq\\\":\\\"27.1.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scipy\\\":\\\"1.18.0\\\",\\\"setuptools\\\":\\\"78.1.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"stack-data\\\":\\\"0.6.3\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tokenizers\\\":\\\"0.22.1\\\",\\\"torch\\\":\\\"2.8.0+cu128\\\",\\\"tornado\\\":\\\"6.5.7\\\",\\\"tqdm\\\":\\\"4.68.4\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.56.2\\\",\\\"triton\\\":\\\"3.4.0\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"urllib3\\\":\\\"2.7.0\\\",\\\"uv\\\":\\\"0.10.12\\\",\\\"wcwidth\\\":\\\"0.8.2\\\"}\",\"python\":\"3.12.3\",\"torch\":\"2.8.0+cu128\"}",
18
+ "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"click\":\"8.5.0\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.22\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"ipykernel\":\"7.4.0\",\"ipython\":\"9.17.1\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.10.0\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.3\",\"nest-asyncio2\":\"1.7.4\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.3\",\"packaging\":\"26.3\",\"pandas\":\"3.0.6\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"25.0.1\",\"platformdirs\":\"4.12.4\",\"pluggy\":\"1.6.0\",\"polars\":\"2.0.0\",\"polars-runtime-32\":\"2.0.0\",\"prompt_toolkit\":\"3.0.53\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.4\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.2.0\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cpu\",\"tornado\":\"6.5.10\",\"tqdm\":\"4.70.1\",\"traitlets\":\"5.16.1\",\"transformers\":\"4.56.2\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\"}",
19
+ "platform_machine": "aarch64",
20
+ "python": "3.12.15",
21
+ "torch": "2.8.0+cpu",
22
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
23
  },
24
+ "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
25
  },
26
  "generation_command": [
27
  "python",
 
32
  "--output-root",
33
  "tests/goldens",
34
  "--model",
35
+ "e1_150m",
36
+ "--official-bf16-golden-root",
37
+ "artifacts/reference/official_bf16_goldens"
38
  ],
39
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
40
  "model_id": "e1_150m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/fp32.safetensors": "fe6b364cdfc3ed9e83f102ab662a58be5d0d878b5197027610bb76cd6406d31f",
44
+ "native/metadata.json": "9fcd266e67f594fc2aad55ba9cc3696470ba306738d59411a5fea034db03f7e4",
45
+ "official_bf16/e1_150m.json": "701a64a6ab1a2fec5a427555b6af96232526c15cb3d5b4dc7fb253ac8f20b922",
46
+ "official_bf16/e1_150m.safetensors": "6558bc8f1a7b20629eaaaa6f72601d0c2cdb859a5dc13595549b1773b6e2de41"
47
  },
48
  "sources": [
49
  {
 
54
  ],
55
  "tensor_file": {
56
  "path": "e1_150m.safetensors",
57
+ "sha256": "03a2e93e7b3e54b12f99eea7678ff80828922f92c3683d4909346a05d74815bc"
58
  },
59
  "tensors": {
60
  "input__global_position_ids": {
 
89
  65
90
  ]
91
  },
92
+ "official_bf16__last_hidden_state": {
93
  "dtype": "bfloat16",
94
  "sha256": "52e65a4d037775956a7a65cc4d78ffbbb54d66f06be3695c55ed9f5cebee1efe",
95
  "shape": [
 
98
  768
99
  ]
100
  },
101
+ "official_bf16__logits": {
102
  "dtype": "float32",
103
  "sha256": "37a7e36f520330df7364f9f17c2a40fb1a0aae853312eee2b7e210533f6ccdb9",
104
  "shape": [
 
107
  34
108
  ]
109
  },
110
+ "output__last_hidden_state": {
111
+ "dtype": "float32",
112
+ "sha256": "072e8b95581fa90a98fecaa08e7beca6c389905150eac98c2d67f1b9c924ebbe",
113
+ "shape": [
114
+ 3,
115
+ 65,
116
+ 768
117
+ ]
118
+ },
119
+ "output__logits": {
120
+ "dtype": "float32",
121
+ "sha256": "75f677201f9c9b6bcf55dfb4b6d73814c6f0ec751774442a448ee2a1b62b8b00",
122
+ "shape": [
123
+ 3,
124
+ 65,
125
+ 34
126
+ ]
127
+ },
128
  "residue_mask": {
129
  "dtype": "bool",
130
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
tests/goldens/e1_150m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6558bc8f1a7b20629eaaaa6f72601d0c2cdb859a5dc13595549b1773b6e2de41
3
- size 333099
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03a2e93e7b3e54b12f99eea7678ff80828922f92c3683d4909346a05d74815bc
3
+ size 958851
tests/goldens/e1_300m.json CHANGED
@@ -9,13 +9,19 @@
9
  },
10
  "environment": {
11
  "details": {
12
- "cuda_device": "NVIDIA H100 PCIe",
13
- "cuda_runtime": "12.8",
14
- "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"click\":\"8.4.2\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.21\",\"decorator\":\"5.3.1\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipykernel\":\"7.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.9.1\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"nest-asyncio2\":\"1.7.2\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.1\",\"nvidia-cublas-cu12\":\"12.8.4.1\",\"nvidia-cuda-cupti-cu12\":\"12.8.90\",\"nvidia-cuda-nvrtc-cu12\":\"12.8.93\",\"nvidia-cuda-runtime-cu12\":\"12.8.90\",\"nvidia-cudnn-cu12\":\"9.10.2.21\",\"nvidia-cufft-cu12\":\"11.3.3.83\",\"nvidia-cufile-cu12\":\"1.13.1.3\",\"nvidia-curand-cu12\":\"10.3.9.90\",\"nvidia-cusolver-cu12\":\"11.7.3.90\",\"nvidia-cusparse-cu12\":\"12.5.8.93\",\"nvidia-cusparselt-cu12\":\"0.7.1\",\"nvidia-nccl-cu12\":\"2.27.3\",\"nvidia-nvjitlink-cu12\":\"12.8.93\",\"nvidia-nvtx-cu12\":\"12.8.90\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"polars\":\"1.42.1\",\"polars-runtime-32\":\"1.42.1\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.1.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.0\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cu128\",\"tornado\":\"6.5.7\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.56.2\",\"triton\":\"3.4.0\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\"}",
15
- "python": "3.12.3",
16
- "torch": "2.8.0+cu128"
 
 
 
 
 
 
17
  },
18
- "fingerprint": "190e7e4a5c17d3b86756f71b7788e6bed7a86716fe1a987cc06009dfa54ebee9"
19
  },
20
  "generation_command": [
21
  "python",
@@ -26,14 +32,18 @@
26
  "--output-root",
27
  "tests/goldens",
28
  "--model",
29
- "e1_300m"
 
 
30
  ],
31
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
32
  "model_id": "e1_300m",
33
  "schema_version": 1,
34
  "source_files": {
35
- "native/bf16.safetensors": "52338c7641eeb720e87ad35ee48f54f585e38f15e7178163fe5d767e2f49e7e7",
36
- "native/metadata.json": "9404d69bfdcfd1d2b2b63d7f407b93df80115be91bb9b8554ada7c6f1d8d6270"
 
 
37
  },
38
  "sources": [
39
  {
@@ -44,7 +54,7 @@
44
  ],
45
  "tensor_file": {
46
  "path": "e1_300m.safetensors",
47
- "sha256": "92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188"
48
  },
49
  "tensors": {
50
  "input__global_position_ids": {
@@ -79,7 +89,7 @@
79
  65
80
  ]
81
  },
82
- "output__last_hidden_state": {
83
  "dtype": "bfloat16",
84
  "sha256": "7b9127c81f260c8b356ea0cbd5350651ea2f6745ce6ecea0399fc8d437dae058",
85
  "shape": [
@@ -88,7 +98,7 @@
88
  1024
89
  ]
90
  },
91
- "output__logits": {
92
  "dtype": "float32",
93
  "sha256": "ebeb995d44c50e94b864f3a77933bfac4510ab0e8fe7602bdaa309996eaafe1b",
94
  "shape": [
@@ -97,6 +107,24 @@
97
  34
98
  ]
99
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "residue_mask": {
101
  "dtype": "bool",
102
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
 
9
  },
10
  "environment": {
11
  "details": {
12
+ "cuda_device": "unavailable",
13
+ "cuda_device_capability": "null",
14
+ "cuda_driver": "unavailable",
15
+ "cuda_runtime": "unavailable",
16
+ "cuda_total_memory": "null",
17
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.8\",\"packages\":\"{\\\"asttokens\\\":\\\"3.0.2\\\",\\\"biotite\\\":\\\"1.7.1\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"charset-normalizer\\\":\\\"3.4.9\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"comm\\\":\\\"0.2.3\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"decorator\\\":\\\"5.3.1\\\",\\\"e1\\\":\\\"1.0.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"executing\\\":\\\"2.2.1\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"fsspec\\\":\\\"2026.4.0\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"idna\\\":\\\"3.18\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"ipykernel\\\":\\\"7.3.0\\\",\\\"ipython\\\":\\\"9.15.0\\\",\\\"ipython_pygments_lexers\\\":\\\"1.1.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"jupyter_client\\\":\\\"8.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kernels\\\":\\\"0.12.3\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib-inline\\\":\\\"0.2.2\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"nest-asyncio2\\\":\\\"1.7.2\\\",\\\"networkx\\\":\\\"3.6.1\\\",\\\"numpy\\\":\\\"2.5.1\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.8.4.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cudnn-cu12\\\":\\\"9.10.2.21\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.3.3.83\\\",\\\"nvidia-cufile-cu12\\\":\\\"1.13.1.3\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.9.90\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.7.3.90\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.5.8.93\\\",\\\"nvidia-cusparselt-cu12\\\":\\\"0.7.1\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.27.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.8.90\\\",\\\"packaging\\\":\\\"26.2\\\",\\\"pandas\\\":\\\"3.0.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pexpect\\\":\\\"4.9.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"polars\\\":\\\"1.42.1\\\",\\\"polars-runtime-32\\\":\\\"1.42.1\\\",\\\"prompt_toolkit\\\":\\\"3.0.52\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"ptyprocess\\\":\\\"0.7.0\\\",\\\"pure_eval\\\":\\\"0.2.3\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pytest\\\":\\\"8.4.2\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"pyzmq\\\":\\\"27.1.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scipy\\\":\\\"1.18.0\\\",\\\"setuptools\\\":\\\"78.1.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"stack-data\\\":\\\"0.6.3\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tokenizers\\\":\\\"0.22.1\\\",\\\"torch\\\":\\\"2.8.0+cu128\\\",\\\"tornado\\\":\\\"6.5.7\\\",\\\"tqdm\\\":\\\"4.68.4\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.56.2\\\",\\\"triton\\\":\\\"3.4.0\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"urllib3\\\":\\\"2.7.0\\\",\\\"uv\\\":\\\"0.10.12\\\",\\\"wcwidth\\\":\\\"0.8.2\\\"}\",\"python\":\"3.12.3\",\"torch\":\"2.8.0+cu128\"}",
18
+ "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"click\":\"8.5.0\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.22\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"ipykernel\":\"7.4.0\",\"ipython\":\"9.17.1\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.10.0\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.3\",\"nest-asyncio2\":\"1.7.4\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.3\",\"packaging\":\"26.3\",\"pandas\":\"3.0.6\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"25.0.1\",\"platformdirs\":\"4.12.4\",\"pluggy\":\"1.6.0\",\"polars\":\"2.0.0\",\"polars-runtime-32\":\"2.0.0\",\"prompt_toolkit\":\"3.0.53\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.4\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.2.0\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cpu\",\"tornado\":\"6.5.10\",\"tqdm\":\"4.70.1\",\"traitlets\":\"5.16.1\",\"transformers\":\"4.56.2\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\"}",
19
+ "platform_machine": "aarch64",
20
+ "python": "3.12.15",
21
+ "torch": "2.8.0+cpu",
22
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
23
  },
24
+ "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
25
  },
26
  "generation_command": [
27
  "python",
 
32
  "--output-root",
33
  "tests/goldens",
34
  "--model",
35
+ "e1_300m",
36
+ "--official-bf16-golden-root",
37
+ "artifacts/reference/official_bf16_goldens"
38
  ],
39
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
40
  "model_id": "e1_300m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/fp32.safetensors": "c505de765a670b55d3bb23c852754ec8bb48413ad90490c6999e5cef3f515896",
44
+ "native/metadata.json": "2ced7da308494b230f2450aadce2bfa055690c47cad8a5201a0852f059c9ffbc",
45
+ "official_bf16/e1_300m.json": "d3478f3f5957a0e0377864074dde0107de890019f96cb63548ee17ffb8f3ec3a",
46
+ "official_bf16/e1_300m.safetensors": "92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188"
47
  },
48
  "sources": [
49
  {
 
54
  ],
55
  "tensor_file": {
56
  "path": "e1_300m.safetensors",
57
+ "sha256": "d125ea866899d2788330d6877d77c48c69febbf7f01d629f4107f9647cfa13ff"
58
  },
59
  "tensors": {
60
  "input__global_position_ids": {
 
89
  65
90
  ]
91
  },
92
+ "official_bf16__last_hidden_state": {
93
  "dtype": "bfloat16",
94
  "sha256": "7b9127c81f260c8b356ea0cbd5350651ea2f6745ce6ecea0399fc8d437dae058",
95
  "shape": [
 
98
  1024
99
  ]
100
  },
101
+ "official_bf16__logits": {
102
  "dtype": "float32",
103
  "sha256": "ebeb995d44c50e94b864f3a77933bfac4510ab0e8fe7602bdaa309996eaafe1b",
104
  "shape": [
 
107
  34
108
  ]
109
  },
110
+ "output__last_hidden_state": {
111
+ "dtype": "float32",
112
+ "sha256": "d6fd46247eb48b4c383428dd6f8e56be66ba2047326ac61309d190b3c15f4e5b",
113
+ "shape": [
114
+ 3,
115
+ 65,
116
+ 1024
117
+ ]
118
+ },
119
+ "output__logits": {
120
+ "dtype": "float32",
121
+ "sha256": "e184afeac186a6f1e51c7b9f7e203b7b4a9eb40eda62c33367a928ada8243f94",
122
+ "shape": [
123
+ 3,
124
+ 65,
125
+ 34
126
+ ]
127
+ },
128
  "residue_mask": {
129
  "dtype": "bool",
130
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
tests/goldens/e1_300m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188
3
- size 432939
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d125ea866899d2788330d6877d77c48c69febbf7f01d629f4107f9647cfa13ff
3
+ size 1258379
tests/goldens/e1_600m.json CHANGED
@@ -9,13 +9,19 @@
9
  },
10
  "environment": {
11
  "details": {
12
- "cuda_device": "NVIDIA H100 PCIe",
13
- "cuda_runtime": "12.8",
14
- "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"click\":\"8.4.2\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.21\",\"decorator\":\"5.3.1\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipykernel\":\"7.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.9.1\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"nest-asyncio2\":\"1.7.2\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.1\",\"nvidia-cublas-cu12\":\"12.8.4.1\",\"nvidia-cuda-cupti-cu12\":\"12.8.90\",\"nvidia-cuda-nvrtc-cu12\":\"12.8.93\",\"nvidia-cuda-runtime-cu12\":\"12.8.90\",\"nvidia-cudnn-cu12\":\"9.10.2.21\",\"nvidia-cufft-cu12\":\"11.3.3.83\",\"nvidia-cufile-cu12\":\"1.13.1.3\",\"nvidia-curand-cu12\":\"10.3.9.90\",\"nvidia-cusolver-cu12\":\"11.7.3.90\",\"nvidia-cusparse-cu12\":\"12.5.8.93\",\"nvidia-cusparselt-cu12\":\"0.7.1\",\"nvidia-nccl-cu12\":\"2.27.3\",\"nvidia-nvjitlink-cu12\":\"12.8.93\",\"nvidia-nvtx-cu12\":\"12.8.90\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"26.1.1\",\"platformdirs\":\"4.10.0\",\"pluggy\":\"1.6.0\",\"polars\":\"1.42.1\",\"polars-runtime-32\":\"1.42.1\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"pygments\":\"2.20.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.1.0\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.0\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cu128\",\"tornado\":\"6.5.7\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.56.2\",\"triton\":\"3.4.0\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\"}",
15
- "python": "3.12.3",
16
- "torch": "2.8.0+cu128"
 
 
 
 
 
 
17
  },
18
- "fingerprint": "190e7e4a5c17d3b86756f71b7788e6bed7a86716fe1a987cc06009dfa54ebee9"
19
  },
20
  "generation_command": [
21
  "python",
@@ -26,14 +32,18 @@
26
  "--output-root",
27
  "tests/goldens",
28
  "--model",
29
- "e1_600m"
 
 
30
  ],
31
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
32
  "model_id": "e1_600m",
33
  "schema_version": 1,
34
  "source_files": {
35
- "native/bf16.safetensors": "00eb6085764831ba05bbc40a6ab7c3e3613f6ab53ace36e30d5bc25a652bd1fb",
36
- "native/metadata.json": "906ca0df18bf5bf680ddcf3d2e19e208bb6ab6badea6bab6ed7ddd3f18ae3591"
 
 
37
  },
38
  "sources": [
39
  {
@@ -44,7 +54,7 @@
44
  ],
45
  "tensor_file": {
46
  "path": "e1_600m.safetensors",
47
- "sha256": "22ed8417a4651ded255099f6d15c63c2c40552e700d2b0470d1adfde3a39c513"
48
  },
49
  "tensors": {
50
  "input__global_position_ids": {
@@ -79,7 +89,7 @@
79
  65
80
  ]
81
  },
82
- "output__last_hidden_state": {
83
  "dtype": "bfloat16",
84
  "sha256": "53df9d156b70af125e64f97637931a1eb7deebe6abd1457533eb3a5cc2a56198",
85
  "shape": [
@@ -88,7 +98,7 @@
88
  1280
89
  ]
90
  },
91
- "output__logits": {
92
  "dtype": "float32",
93
  "sha256": "9cbb71e59df284e45540b39f2553edc16ecb9c51601b75b057bc089c3f1c6dd4",
94
  "shape": [
@@ -97,6 +107,24 @@
97
  34
98
  ]
99
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "residue_mask": {
101
  "dtype": "bool",
102
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
 
9
  },
10
  "environment": {
11
  "details": {
12
+ "cuda_device": "unavailable",
13
+ "cuda_device_capability": "null",
14
+ "cuda_driver": "unavailable",
15
+ "cuda_runtime": "unavailable",
16
+ "cuda_total_memory": "null",
17
+ "official_bf16_environment": "{\"cuda_device\":\"NVIDIA H100 PCIe\",\"cuda_runtime\":\"12.8\",\"packages\":\"{\\\"asttokens\\\":\\\"3.0.2\\\",\\\"biotite\\\":\\\"1.7.1\\\",\\\"biotraj\\\":\\\"1.2.2\\\",\\\"certifi\\\":\\\"2026.6.17\\\",\\\"charset-normalizer\\\":\\\"3.4.9\\\",\\\"click\\\":\\\"8.4.2\\\",\\\"comm\\\":\\\"0.2.3\\\",\\\"debugpy\\\":\\\"1.8.21\\\",\\\"decorator\\\":\\\"5.3.1\\\",\\\"e1\\\":\\\"1.0.0\\\",\\\"einops\\\":\\\"0.8.2\\\",\\\"executing\\\":\\\"2.2.1\\\",\\\"filelock\\\":\\\"3.29.0\\\",\\\"fsspec\\\":\\\"2026.4.0\\\",\\\"hf-xet\\\":\\\"1.5.1\\\",\\\"huggingface_hub\\\":\\\"0.36.2\\\",\\\"idna\\\":\\\"3.18\\\",\\\"iniconfig\\\":\\\"2.3.0\\\",\\\"ipykernel\\\":\\\"7.3.0\\\",\\\"ipython\\\":\\\"9.15.0\\\",\\\"ipython_pygments_lexers\\\":\\\"1.1.1\\\",\\\"jedi\\\":\\\"0.20.0\\\",\\\"jinja2\\\":\\\"3.1.6\\\",\\\"jupyter_client\\\":\\\"8.9.1\\\",\\\"jupyter_core\\\":\\\"5.9.1\\\",\\\"kernels\\\":\\\"0.12.3\\\",\\\"markupsafe\\\":\\\"3.0.3\\\",\\\"matplotlib-inline\\\":\\\"0.2.2\\\",\\\"mpmath\\\":\\\"1.3.0\\\",\\\"msgpack\\\":\\\"1.2.1\\\",\\\"nest-asyncio2\\\":\\\"1.7.2\\\",\\\"networkx\\\":\\\"3.6.1\\\",\\\"numpy\\\":\\\"2.5.1\\\",\\\"nvidia-cublas-cu12\\\":\\\"12.8.4.1\\\",\\\"nvidia-cuda-cupti-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cuda-nvrtc-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-cuda-runtime-cu12\\\":\\\"12.8.90\\\",\\\"nvidia-cudnn-cu12\\\":\\\"9.10.2.21\\\",\\\"nvidia-cufft-cu12\\\":\\\"11.3.3.83\\\",\\\"nvidia-cufile-cu12\\\":\\\"1.13.1.3\\\",\\\"nvidia-curand-cu12\\\":\\\"10.3.9.90\\\",\\\"nvidia-cusolver-cu12\\\":\\\"11.7.3.90\\\",\\\"nvidia-cusparse-cu12\\\":\\\"12.5.8.93\\\",\\\"nvidia-cusparselt-cu12\\\":\\\"0.7.1\\\",\\\"nvidia-nccl-cu12\\\":\\\"2.27.3\\\",\\\"nvidia-nvjitlink-cu12\\\":\\\"12.8.93\\\",\\\"nvidia-nvtx-cu12\\\":\\\"12.8.90\\\",\\\"packaging\\\":\\\"26.2\\\",\\\"pandas\\\":\\\"3.0.3\\\",\\\"parso\\\":\\\"0.8.7\\\",\\\"pexpect\\\":\\\"4.9.0\\\",\\\"pip\\\":\\\"26.1.1\\\",\\\"platformdirs\\\":\\\"4.10.0\\\",\\\"pluggy\\\":\\\"1.6.0\\\",\\\"polars\\\":\\\"1.42.1\\\",\\\"polars-runtime-32\\\":\\\"1.42.1\\\",\\\"prompt_toolkit\\\":\\\"3.0.52\\\",\\\"psutil\\\":\\\"7.2.2\\\",\\\"ptyprocess\\\":\\\"0.7.0\\\",\\\"pure_eval\\\":\\\"0.2.3\\\",\\\"pygments\\\":\\\"2.20.0\\\",\\\"pytest\\\":\\\"8.4.2\\\",\\\"python-dateutil\\\":\\\"2.9.0.post0\\\",\\\"pyyaml\\\":\\\"6.0.3\\\",\\\"pyzmq\\\":\\\"27.1.0\\\",\\\"regex\\\":\\\"2026.7.10\\\",\\\"requests\\\":\\\"2.34.2\\\",\\\"safetensors\\\":\\\"0.6.2\\\",\\\"scipy\\\":\\\"1.18.0\\\",\\\"setuptools\\\":\\\"78.1.0\\\",\\\"six\\\":\\\"1.17.0\\\",\\\"stack-data\\\":\\\"0.6.3\\\",\\\"sympy\\\":\\\"1.14.0\\\",\\\"tokenizers\\\":\\\"0.22.1\\\",\\\"torch\\\":\\\"2.8.0+cu128\\\",\\\"tornado\\\":\\\"6.5.7\\\",\\\"tqdm\\\":\\\"4.68.4\\\",\\\"traitlets\\\":\\\"5.15.1\\\",\\\"transformers\\\":\\\"4.56.2\\\",\\\"triton\\\":\\\"3.4.0\\\",\\\"typing_extensions\\\":\\\"4.15.0\\\",\\\"urllib3\\\":\\\"2.7.0\\\",\\\"uv\\\":\\\"0.10.12\\\",\\\"wcwidth\\\":\\\"0.8.2\\\"}\",\"python\":\"3.12.3\",\"torch\":\"2.8.0+cu128\"}",
18
+ "packages": "{\"asttokens\":\"3.0.2\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"click\":\"8.5.0\",\"comm\":\"0.2.3\",\"debugpy\":\"1.8.22\",\"e1\":\"1.0.0\",\"einops\":\"0.8.2\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"ipykernel\":\"7.4.0\",\"ipython\":\"9.17.1\",\"ipython_pygments_lexers\":\"1.1.1\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jupyter_client\":\"8.10.0\",\"jupyter_core\":\"5.9.1\",\"kernels\":\"0.12.3\",\"markupsafe\":\"3.0.3\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.3\",\"nest-asyncio2\":\"1.7.4\",\"networkx\":\"3.6.1\",\"numpy\":\"2.5.3\",\"packaging\":\"26.3\",\"pandas\":\"3.0.6\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pip\":\"25.0.1\",\"platformdirs\":\"4.12.4\",\"pluggy\":\"1.6.0\",\"polars\":\"2.0.0\",\"polars-runtime-32\":\"2.0.0\",\"prompt_toolkit\":\"3.0.53\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.4\",\"pygments\":\"2.21.0\",\"pytest\":\"8.4.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"pyzmq\":\"27.2.0\",\"regex\":\"2026.9.29\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"scipy\":\"1.18.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tokenizers\":\"0.22.1\",\"torch\":\"2.8.0+cpu\",\"tornado\":\"6.5.10\",\"tqdm\":\"4.70.1\",\"traitlets\":\"5.16.1\",\"transformers\":\"4.56.2\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"wcwidth\":\"0.9.2\"}",
19
+ "platform_machine": "aarch64",
20
+ "python": "3.12.15",
21
+ "torch": "2.8.0+cpu",
22
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
23
  },
24
+ "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
25
  },
26
  "generation_command": [
27
  "python",
 
32
  "--output-root",
33
  "tests/goldens",
34
  "--model",
35
+ "e1_600m",
36
+ "--official-bf16-golden-root",
37
+ "artifacts/reference/official_bf16_goldens"
38
  ],
39
  "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
40
  "model_id": "e1_600m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/fp32.safetensors": "17dbd116016c13810a15f40899964ee972cd0b4403d94397d49fd2ffdc72de95",
44
+ "native/metadata.json": "84d65dd0fec5511c84983589ea65d9127eaf36f6ed5b97bc0ee9ee3ee6a3237b",
45
+ "official_bf16/e1_600m.json": "914be191c28141c1f84535cdb69ead0588a2057bb19d46c5bc7f3891a3d6739e",
46
+ "official_bf16/e1_600m.safetensors": "22ed8417a4651ded255099f6d15c63c2c40552e700d2b0470d1adfde3a39c513"
47
  },
48
  "sources": [
49
  {
 
54
  ],
55
  "tensor_file": {
56
  "path": "e1_600m.safetensors",
57
+ "sha256": "d470d6833f0b38bec070aa37e9f3c49717ea82d31c794af843550bb7e56253a6"
58
  },
59
  "tensors": {
60
  "input__global_position_ids": {
 
89
  65
90
  ]
91
  },
92
+ "official_bf16__last_hidden_state": {
93
  "dtype": "bfloat16",
94
  "sha256": "53df9d156b70af125e64f97637931a1eb7deebe6abd1457533eb3a5cc2a56198",
95
  "shape": [
 
98
  1280
99
  ]
100
  },
101
+ "official_bf16__logits": {
102
  "dtype": "float32",
103
  "sha256": "9cbb71e59df284e45540b39f2553edc16ecb9c51601b75b057bc089c3f1c6dd4",
104
  "shape": [
 
107
  34
108
  ]
109
  },
110
+ "output__last_hidden_state": {
111
+ "dtype": "float32",
112
+ "sha256": "bf3bc964683123a0329e43cbe24dc8132e6c1aa21191f16e982db999128b9805",
113
+ "shape": [
114
+ 3,
115
+ 65,
116
+ 1280
117
+ ]
118
+ },
119
+ "output__logits": {
120
+ "dtype": "float32",
121
+ "sha256": "1aff7d2daf6fc9fb93843f04fd835c57d0d1e037063b8bc64e5bde3a70a11b7a",
122
+ "shape": [
123
+ 3,
124
+ 65,
125
+ 34
126
+ ]
127
+ },
128
  "residue_mask": {
129
  "dtype": "bool",
130
  "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
tests/goldens/e1_600m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:22ed8417a4651ded255099f6d15c63c2c40552e700d2b0470d1adfde3a39c513
3
- size 532779
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d470d6833f0b38bec070aa37e9f3c49717ea82d31c794af843550bb7e56253a6
3
+ size 1557899
tests/goldens/esm2_150m.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.2\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.20.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "bbf86d3a107f16fa44d7d49ae8a9ab208c80a2da6104de22006aaadf018dcf27"
22
  },
23
  "generation_command": [
24
  "python",
@@ -35,8 +40,9 @@
35
  "model_id": "esm2_150m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "92d69c4ec9bca3b54e702741d77613fd8910f2829f933f92e55f65f21246a6ce",
39
- "native/metadata.json": "3af2b7a66bb1682f9f0a0a15b55e7e6fe61bb38858b8dc34f6830196429932c1"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "esm2_150m.safetensors",
50
- "sha256": "c03fe9916dba137b452a6bbe944c7dc414db4019a6f0921e87b92d4bb6a8a42f"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,9 +72,27 @@
66
  63
67
  ]
68
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  "output__last_hidden_state": {
70
  "dtype": "float32",
71
- "sha256": "c03427ebaaf7b7f8403fd6f8776b17600dfd54ea2f806a1369339a14bb7aabcc",
72
  "shape": [
73
  3,
74
  63,
@@ -77,7 +101,7 @@
77
  },
78
  "output__logits": {
79
  "dtype": "float32",
80
- "sha256": "f2a8325a1950d2b939fdcbd8dfc93cb62ccbdbed5a6c54505fb8d1ca966d2e5c",
81
  "shape": [
82
  3,
83
  63,
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.21.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"uv\":\"0.10.12\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "9ac6ba6287819bbcf94960f1a94c032231672a7b6fbfe6324961f55b15216d1d"
27
  },
28
  "generation_command": [
29
  "python",
 
40
  "model_id": "esm2_150m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/bf16.safetensors": "a2bc7ecaad479a2f1e258e651c34a2c249aa3e3f4a48f03c7b34595033addbd5",
44
+ "native/fp32.safetensors": "c5772883c8d303060c88ef6659e955d7adcce08e00450f171c5ff0172a87fdd6",
45
+ "native/metadata.json": "771f0b6b152feb4cbcff59580467e28be02f1a75a3d4c0742a2c3987e2c07677"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "esm2_150m.safetensors",
56
+ "sha256": "20ad986b8e6e09f36d0158f5939d1914e0809b84329695028d767aab93338621"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  63
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
+ "dtype": "float32",
77
+ "sha256": "140689c11934ead3407a01956c20acb73f0130edda5055db424fa4ca501472e8",
78
+ "shape": [
79
+ 3,
80
+ 63,
81
+ 640
82
+ ]
83
+ },
84
+ "official_bf16__logits": {
85
+ "dtype": "float32",
86
+ "sha256": "3e35fcea043aec152df3bad5b49f094a341c1da5c5a26410fdd44fa52a1e1803",
87
+ "shape": [
88
+ 3,
89
+ 63,
90
+ 33
91
+ ]
92
+ },
93
  "output__last_hidden_state": {
94
  "dtype": "float32",
95
+ "sha256": "869546ff377328e1fda58728037b683d8e61a465114a186e3a11cdc3f9113ecc",
96
  "shape": [
97
  3,
98
  63,
 
101
  },
102
  "output__logits": {
103
  "dtype": "float32",
104
+ "sha256": "decbee8386e6c3b647f7785dce8624f3b0fda888743dd0aed1d231369c06b81b",
105
  "shape": [
106
  3,
107
  63,
tests/goldens/esm2_150m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c03fe9916dba137b452a6bbe944c7dc414db4019a6f0921e87b92d4bb6a8a42f
3
- size 512449
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20ad986b8e6e09f36d0158f5939d1914e0809b84329695028d767aab93338621
3
+ size 1021437
tests/goldens/esm2_35m.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.2\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.20.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "bbf86d3a107f16fa44d7d49ae8a9ab208c80a2da6104de22006aaadf018dcf27"
22
  },
23
  "generation_command": [
24
  "python",
@@ -35,8 +40,9 @@
35
  "model_id": "esm2_35m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "94a580c6d71a57c92ddb0fc7f5ad9a9cc16d88d5b49a32139f291dedd625e3d3",
39
- "native/metadata.json": "07edcb417ff7878627e5dfb48453d22b09faab318c163ad8d7a340e7b8b73079"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "esm2_35m.safetensors",
50
- "sha256": "c9b8bb616cf884fb7744521a2fcc6eed23586342d11241e6c9ef16454ec31e17"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,9 +72,27 @@
66
  63
67
  ]
68
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  "output__last_hidden_state": {
70
  "dtype": "float32",
71
- "sha256": "51a3a127aaf52cbbefdb062562d90c79ff93108503a36e4b674dad82c1b88cb8",
72
  "shape": [
73
  3,
74
  63,
@@ -77,7 +101,7 @@
77
  },
78
  "output__logits": {
79
  "dtype": "float32",
80
- "sha256": "5b647a1a528e7cf17dc5b5057da75408d7e5489602ad619df9bec8c52247e8e1",
81
  "shape": [
82
  3,
83
  63,
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.21.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"uv\":\"0.10.12\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "9ac6ba6287819bbcf94960f1a94c032231672a7b6fbfe6324961f55b15216d1d"
27
  },
28
  "generation_command": [
29
  "python",
 
40
  "model_id": "esm2_35m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/bf16.safetensors": "7350c1260f99eeb509559197b19f351a8ec1bf4d996049de3a9e7eff19feb997",
44
+ "native/fp32.safetensors": "584846da650d3a317d6d173ba9a1b36bd5adc0fa4d1edd1becbef35a5575f78d",
45
+ "native/metadata.json": "2318735695966ea44017b5517e7e8bc28b7502dee47942f3cc0b96e142eb08b3"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "esm2_35m.safetensors",
56
+ "sha256": "4f82d10286e16041c2f23365dfdd8508b911864633287dd76580425527c2d922"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  63
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
+ "dtype": "float32",
77
+ "sha256": "e236aa196ccb9fe201b14d0ba651282031d2341a60eb03c6172c6a88a8be6635",
78
+ "shape": [
79
+ 3,
80
+ 63,
81
+ 480
82
+ ]
83
+ },
84
+ "official_bf16__logits": {
85
+ "dtype": "float32",
86
+ "sha256": "12b2b81a3eb422826abb478aade75a45f0635a453b0b28b125661c230c8bd154",
87
+ "shape": [
88
+ 3,
89
+ 63,
90
+ 33
91
+ ]
92
+ },
93
  "output__last_hidden_state": {
94
  "dtype": "float32",
95
+ "sha256": "2e56990edf866cd6e89cb1be69bb0ada724c2ffd4e56b284cb48fd3a598262d8",
96
  "shape": [
97
  3,
98
  63,
 
101
  },
102
  "output__logits": {
103
  "dtype": "float32",
104
+ "sha256": "3c9812e8ffb40f56a0ff258107b78d646c1eb2091b3d809babcae72042b76eb1",
105
  "shape": [
106
  3,
107
  63,
tests/goldens/esm2_35m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c9b8bb616cf884fb7744521a2fcc6eed23586342d11241e6c9ef16454ec31e17
3
- size 391489
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f82d10286e16041c2f23365dfdd8508b911864633287dd76580425527c2d922
3
+ size 779509
tests/goldens/esm2_3b.json CHANGED
@@ -13,13 +13,18 @@
13
  },
14
  "environment": {
15
  "details": {
16
- "cuda_device": "NVIDIA H100 PCIe",
 
 
17
  "cuda_runtime": "13.0",
18
- "packages": "{\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.2\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.20.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\"}",
 
 
19
  "python": "3.12.3",
20
- "torch": "2.13.0+cu130"
 
21
  },
22
- "fingerprint": "bbf86d3a107f16fa44d7d49ae8a9ab208c80a2da6104de22006aaadf018dcf27"
23
  },
24
  "generation_command": [
25
  "python",
@@ -36,8 +41,9 @@
36
  "model_id": "esm2_3b",
37
  "schema_version": 1,
38
  "source_files": {
39
- "native/bf16.safetensors": "d2aa4af21d51eb28436ba1cf9e84d9ed05698c72e8b2f85a82b2f89cf7b03415",
40
- "native/metadata.json": "d1b31384d3f92441490ef16c7daa44b085347616a42264cf7fdd37e8c567c18a"
 
41
  },
42
  "sources": [
43
  {
@@ -48,7 +54,7 @@
48
  ],
49
  "tensor_file": {
50
  "path": "esm2_3b.safetensors",
51
- "sha256": "dfd5a8cb05d3e814a080185c4808c8e7ec2277f070f395562fcfbe4376789e4e"
52
  },
53
  "tensors": {
54
  "input__attention_mask": {
@@ -67,9 +73,27 @@
67
  63
68
  ]
69
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  "output__last_hidden_state": {
71
  "dtype": "float32",
72
- "sha256": "f33b7320f901536d898f386863969bb5cabee629823e53108a41857acb8086d8",
73
  "shape": [
74
  3,
75
  63,
@@ -78,7 +102,7 @@
78
  },
79
  "output__logits": {
80
  "dtype": "float32",
81
- "sha256": "f181a80c9349476aec4ec4878ee7eaf1cd82b08be7ec1808168510db1ceb3eae",
82
  "shape": [
83
  3,
84
  63,
 
13
  },
14
  "environment": {
15
  "details": {
16
+ "cuda_device": "NVIDIA GH200 480GB",
17
+ "cuda_device_capability": "[9,0]",
18
+ "cuda_driver": "570.148.08",
19
  "cuda_runtime": "13.0",
20
+ "cuda_total_memory": "101468602368",
21
+ "packages": "{\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.21.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"uv\":\"0.10.12\"}",
22
+ "platform_machine": "aarch64",
23
  "python": "3.12.3",
24
+ "torch": "2.13.0+cu130",
25
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
26
  },
27
+ "fingerprint": "9ac6ba6287819bbcf94960f1a94c032231672a7b6fbfe6324961f55b15216d1d"
28
  },
29
  "generation_command": [
30
  "python",
 
41
  "model_id": "esm2_3b",
42
  "schema_version": 1,
43
  "source_files": {
44
+ "native/bf16.safetensors": "30817179a95b0f792e753b626b76c0598f3facfab58eeb123ad03a3c545e2dc7",
45
+ "native/fp32.safetensors": "5d6ee5fa4f71878cf47249afa0fc84e44616ed6709fadab3d65208e9dc161747",
46
+ "native/metadata.json": "2d2058194ec728ab1082c557dbb98b51b4db14f85936471acaf2e8d19471a74c"
47
  },
48
  "sources": [
49
  {
 
54
  ],
55
  "tensor_file": {
56
  "path": "esm2_3b.safetensors",
57
+ "sha256": "61080e55e07db4a562a19e9b6b662e71a9fd3d8fee357aa3df00697d2fa58e33"
58
  },
59
  "tensors": {
60
  "input__attention_mask": {
 
73
  63
74
  ]
75
  },
76
+ "official_bf16__last_hidden_state": {
77
+ "dtype": "float32",
78
+ "sha256": "d34a85708b4b9ba94f01f73624afb60ea326b5a1a2161f18686373791a6fbfbe",
79
+ "shape": [
80
+ 3,
81
+ 63,
82
+ 2560
83
+ ]
84
+ },
85
+ "official_bf16__logits": {
86
+ "dtype": "float32",
87
+ "sha256": "df6b829c1019b2c19ed2cd9a668433c81dc1dd885c1eb33572085a14d0fa9b7c",
88
+ "shape": [
89
+ 3,
90
+ 63,
91
+ 33
92
+ ]
93
+ },
94
  "output__last_hidden_state": {
95
  "dtype": "float32",
96
+ "sha256": "047860a87ee951148182af5adadec69a2b571c83988092017ea4b8abbccd74b7",
97
  "shape": [
98
  3,
99
  63,
 
102
  },
103
  "output__logits": {
104
  "dtype": "float32",
105
+ "sha256": "298e4e7ec3a4476c8078c2e2e8018be3e716d6473f8a78db0d233c207d189f0c",
106
  "shape": [
107
  3,
108
  63,
tests/goldens/esm2_3b.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dfd5a8cb05d3e814a080185c4808c8e7ec2277f070f395562fcfbe4376789e4e
3
- size 1963977
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61080e55e07db4a562a19e9b6b662e71a9fd3d8fee357aa3df00697d2fa58e33
3
+ size 3924485
tests/goldens/esm2_650m.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.2\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.20.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "bbf86d3a107f16fa44d7d49ae8a9ab208c80a2da6104de22006aaadf018dcf27"
22
  },
23
  "generation_command": [
24
  "python",
@@ -35,8 +40,9 @@
35
  "model_id": "esm2_650m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "65e98c3f3508b0db4b108eb8b4550f7f59250a7b1fb732b75c4d363d022941fe",
39
- "native/metadata.json": "459c6d50138cb6a720654db046416bcb1720ed79591297b9e85f63e4d8796360"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "esm2_650m.safetensors",
50
- "sha256": "c3a66b75add03628e62e238cb63da6a9e4d321f8160e84bdf2a131c096977f86"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,9 +72,27 @@
66
  63
67
  ]
68
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  "output__last_hidden_state": {
70
  "dtype": "float32",
71
- "sha256": "3230510fda222dabeabab727a9d7f207016b90ba30c7e7c0e08ebf11f93cbd69",
72
  "shape": [
73
  3,
74
  63,
@@ -77,7 +101,7 @@
77
  },
78
  "output__logits": {
79
  "dtype": "float32",
80
- "sha256": "acd43879cd264ed6edcbfc2d7333fe9aae6b02b3b246f4bb8f9b8e2301786008",
81
  "shape": [
82
  3,
83
  63,
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.21.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"uv\":\"0.10.12\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "9ac6ba6287819bbcf94960f1a94c032231672a7b6fbfe6324961f55b15216d1d"
27
  },
28
  "generation_command": [
29
  "python",
 
40
  "model_id": "esm2_650m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/bf16.safetensors": "975976dc2a94a6b94b8e0cd46bcd3c9c986870c7fd48037141b069cd89c549a3",
44
+ "native/fp32.safetensors": "efc9e14ed6aabedf0c14e2f1f945b894abd0e929bbec2efc183b8900a2e8969d",
45
+ "native/metadata.json": "5c9325ea3b06eef06b43ebf610d78e7a982b4b5bba686df80d39988f0242ef31"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "esm2_650m.safetensors",
56
+ "sha256": "261a8b71c4b7c90b1f294031558ee0bf00d77a98352021eb78771200c8d40548"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  63
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
+ "dtype": "float32",
77
+ "sha256": "79c5de892c9ba6b041f69acb8b308bfc225cd0ca8f24c476a180a4e0046daaf3",
78
+ "shape": [
79
+ 3,
80
+ 63,
81
+ 1280
82
+ ]
83
+ },
84
+ "official_bf16__logits": {
85
+ "dtype": "float32",
86
+ "sha256": "b94fe39682af7af4fbf6b11af2734adffc01653043251fff8e51d51cc2904de5",
87
+ "shape": [
88
+ 3,
89
+ 63,
90
+ 33
91
+ ]
92
+ },
93
  "output__last_hidden_state": {
94
  "dtype": "float32",
95
+ "sha256": "2947156c3a133f6d235e8a4cbc5c6ce29dc30f5ed1218080ffaf9477c95c4901",
96
  "shape": [
97
  3,
98
  63,
 
101
  },
102
  "output__logits": {
103
  "dtype": "float32",
104
+ "sha256": "2c6f97c476b21687b8cc8bbad26d1ee74c9bc5e7daffffd1b3c4db6ccac0d246",
105
  "shape": [
106
  3,
107
  63,
tests/goldens/esm2_650m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3a66b75add03628e62e238cb63da6a9e4d321f8160e84bdf2a131c096977f86
3
- size 996297
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:261a8b71c4b7c90b1f294031558ee0bf00d77a98352021eb78771200c8d40548
3
+ size 1989117
tests/goldens/esm2_8m.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.29.0\",\"fsspec\":\"2026.4.0\",\"hf-xet\":\"1.5.2\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.20.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "bbf86d3a107f16fa44d7d49ae8a9ab208c80a2da6104de22006aaadf018dcf27"
22
  },
23
  "generation_command": [
24
  "python",
@@ -35,8 +40,9 @@
35
  "model_id": "esm2_8m",
36
  "schema_version": 1,
37
  "source_files": {
38
- "native/bf16.safetensors": "8de8ee1ec82d516fdd61c07738c29bbcaaa11439c8af0bfdc36e0a4741534443",
39
- "native/metadata.json": "08c2dab986ddc0fa14f8ecf85b453da1e0b5842b651081531eee9a70570f9cd5"
 
40
  },
41
  "sources": [
42
  {
@@ -47,7 +53,7 @@
47
  ],
48
  "tensor_file": {
49
  "path": "esm2_8m.safetensors",
50
- "sha256": "b40217566c33c71988d28869de353be54a3b3ebfc21fdfd29056e88cf7e99f4c"
51
  },
52
  "tensors": {
53
  "input__attention_mask": {
@@ -66,9 +72,27 @@
66
  63
67
  ]
68
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  "output__last_hidden_state": {
70
  "dtype": "float32",
71
- "sha256": "2cf89ef552f208608822f7473e2a0da3b02a9155422dc64c4c3b4b66e19640a1",
72
  "shape": [
73
  3,
74
  63,
@@ -77,7 +101,7 @@
77
  },
78
  "output__logits": {
79
  "dtype": "float32",
80
- "sha256": "b750b319e312aa253434dac722d6c771e1ccc51c1a9cffcc476282c4da083596",
81
  "shape": [
82
  3,
83
  63,
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.5.2\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"fair-esm\":\"2.0.1\",\"filelock\":\"3.32.3\",\"fsspec\":\"2026.7.0\",\"hf-xet\":\"1.7.0\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.20\",\"iniconfig\":\"2.3.1\",\"jinja2\":\"3.1.6\",\"markupsafe\":\"3.0.3\",\"mpmath\":\"1.3.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.3\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"pygments\":\"2.21.0\",\"pytest\":\"9.0.2\",\"pyyaml\":\"6.0.3\",\"requests\":\"2.34.2\",\"safetensors\":\"0.6.2\",\"setuptools\":\"78.1.0\",\"sympy\":\"1.14.0\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.70.1\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.8.0\",\"uv\":\"0.10.12\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "9ac6ba6287819bbcf94960f1a94c032231672a7b6fbfe6324961f55b15216d1d"
27
  },
28
  "generation_command": [
29
  "python",
 
40
  "model_id": "esm2_8m",
41
  "schema_version": 1,
42
  "source_files": {
43
+ "native/bf16.safetensors": "bdba465e16518ae67802fc7d756410331c8748bc524c2a80c11892b7ac004e2a",
44
+ "native/fp32.safetensors": "0200c34796d2e71fe10212390a89f0feb5003c191649af4e11b1dfa4cd300fc5",
45
+ "native/metadata.json": "51fd54dc3e05057cefb64bba6ef9a48221c40f7bd9732680dd5f4d2f5f00ab29"
46
  },
47
  "sources": [
48
  {
 
53
  ],
54
  "tensor_file": {
55
  "path": "esm2_8m.safetensors",
56
+ "sha256": "d08a7572cbef20b8b19b545bcb0427b7e9ae19b986d015c559cd5a3a2cfc8aa4"
57
  },
58
  "tensors": {
59
  "input__attention_mask": {
 
72
  63
73
  ]
74
  },
75
+ "official_bf16__last_hidden_state": {
76
+ "dtype": "float32",
77
+ "sha256": "39dc2e38921d07856a28f72a61a93ce7878b508e34ab9e7ed50ae5a9238d2d16",
78
+ "shape": [
79
+ 3,
80
+ 63,
81
+ 320
82
+ ]
83
+ },
84
+ "official_bf16__logits": {
85
+ "dtype": "float32",
86
+ "sha256": "b9b551485d4be633948ba0eb0eb45427e8db3bcac1fb10e064f5db80107497ee",
87
+ "shape": [
88
+ 3,
89
+ 63,
90
+ 33
91
+ ]
92
+ },
93
  "output__last_hidden_state": {
94
  "dtype": "float32",
95
+ "sha256": "c255003577186bce097f6aa7cff64dd32b5cd472714e66ce8df9916a02ffc3e2",
96
  "shape": [
97
  3,
98
  63,
 
101
  },
102
  "output__logits": {
103
  "dtype": "float32",
104
+ "sha256": "e1729492996eabaea87a1f56e4d480cd033fc9879f0817c07296803c4d45e68a",
105
  "shape": [
106
  3,
107
  63,
tests/goldens/esm2_8m.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b40217566c33c71988d28869de353be54a3b3ebfc21fdfd29056e88cf7e99f4c
3
- size 270529
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d08a7572cbef20b8b19b545bcb0427b7e9ae19b986d015c559cd5a3a2cfc8aa4
3
+ size 537589
tests/goldens/esm3_small.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.49\",\"botocore\":\"1.43.49\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.4.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.1\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.0\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.7.3\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "2ee39b50c310ea21ecbb1e87a69bb9a05076126031d2e6566014ba794dd57c1b"
22
  },
23
  "generation_command": [
24
  "python",
@@ -36,7 +41,8 @@
36
  "schema_version": 1,
37
  "source_files": {
38
  "native/bf16.safetensors": "a7519c26786ca0de53d80054eb4b8c273c97be291f6453d5b7fb5d2e9d3df573",
39
- "native/metadata.json": "3983df0b109c4a90dd37d359155442d1dd77c75bedf7c92b02ddf7f1212a452e"
 
40
  },
41
  "sources": [
42
  {
@@ -52,7 +58,7 @@
52
  ],
53
  "tensor_file": {
54
  "path": "esm3_small.safetensors",
55
- "sha256": "d957922f810c9ab4c557d80d5aaaf6a3aab79a5a45e4638012a634a4134803b1"
56
  },
57
  "tensors": {
58
  "input__attention_mask": {
@@ -71,7 +77,7 @@
71
  63
72
  ]
73
  },
74
- "output__last_hidden_state": {
75
  "dtype": "float32",
76
  "sha256": "837b3b53736ca019bb0acf2aacbb8d010957461c958fa3a15b4c8e5953265251",
77
  "shape": [
@@ -80,7 +86,7 @@
80
  1536
81
  ]
82
  },
83
- "output__logits": {
84
  "dtype": "bfloat16",
85
  "sha256": "b4e7a076eaeae92de783ad73f8bd2690dd697bbb35c00993cc0fc2488fb67588",
86
  "shape": [
@@ -89,6 +95,24 @@
89
  64
90
  ]
91
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
  "residue_mask": {
93
  "dtype": "bool",
94
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.53\",\"botocore\":\"1.43.53\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.6.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.2\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.1\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.19\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"83.0.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.69.0\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"wheel\":\"0.47.0\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.6.1\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
27
  },
28
  "generation_command": [
29
  "python",
 
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "a7519c26786ca0de53d80054eb4b8c273c97be291f6453d5b7fb5d2e9d3df573",
44
+ "native/fp32.safetensors": "8a6ca8c1bf1629c58a49269adb7c2bd611ffaed9dec9884398d818ba7bc8b747",
45
+ "native/metadata.json": "a6c3758913ef05c5339a3d6a08d76e66e49bbdea9be390ae174ec8f267fe58e0"
46
  },
47
  "sources": [
48
  {
 
58
  ],
59
  "tensor_file": {
60
  "path": "esm3_small.safetensors",
61
+ "sha256": "251e050926a1f2426401bac6b93b4cb00041d0b0a5c8a458d0ef0e6a5d0d87c3"
62
  },
63
  "tensors": {
64
  "input__attention_mask": {
 
77
  63
78
  ]
79
  },
80
+ "official_bf16__last_hidden_state": {
81
  "dtype": "float32",
82
  "sha256": "837b3b53736ca019bb0acf2aacbb8d010957461c958fa3a15b4c8e5953265251",
83
  "shape": [
 
86
  1536
87
  ]
88
  },
89
+ "official_bf16__logits": {
90
  "dtype": "bfloat16",
91
  "sha256": "b4e7a076eaeae92de783ad73f8bd2690dd697bbb35c00993cc0fc2488fb67588",
92
  "shape": [
 
95
  64
96
  ]
97
  },
98
+ "output__last_hidden_state": {
99
+ "dtype": "float32",
100
+ "sha256": "fb71521b8d03419c2cac27fff71e2859c77912605bb84790290a79a6307c2886",
101
+ "shape": [
102
+ 3,
103
+ 63,
104
+ 1536
105
+ ]
106
+ },
107
+ "output__logits": {
108
+ "dtype": "float32",
109
+ "sha256": "42cc235b5202343f291d58e757457b32e4ceb1e8e5c161f6ea97cc325bd4b8be",
110
+ "shape": [
111
+ 3,
112
+ 63,
113
+ 64
114
+ ]
115
+ },
116
  "residue_mask": {
117
  "dtype": "bool",
118
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/esm3_small.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d957922f810c9ab4c557d80d5aaaf6a3aab79a5a45e4638012a634a4134803b1
3
- size 1189077
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:251e050926a1f2426401bac6b93b4cb00041d0b0a5c8a458d0ef0e6a5d0d87c3
3
+ size 2398877
tests/goldens/esmc_6b.json CHANGED
@@ -17,13 +17,18 @@
17
  },
18
  "environment": {
19
  "details": {
20
- "cuda_device": "NVIDIA H100 PCIe",
 
 
21
  "cuda_runtime": "13.0",
22
- "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.49\",\"botocore\":\"1.43.49\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.4.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.1\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.0\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.7.3\"}",
 
 
23
  "python": "3.12.3",
24
- "torch": "2.13.0+cu130"
 
25
  },
26
- "fingerprint": "2ee39b50c310ea21ecbb1e87a69bb9a05076126031d2e6566014ba794dd57c1b"
27
  },
28
  "generation_command": [
29
  "python",
@@ -41,7 +46,8 @@
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "3c41e3d2b47b03cf573f229df1fb2b15f3d8287ef8ed6eb0336f89f212214d78",
44
- "native/metadata.json": "43b4fc3571d0ae565ddad8423e8e1e90de2daf484bae4192b2f61d867e4e8990"
 
45
  },
46
  "sources": [
47
  {
@@ -57,7 +63,7 @@
57
  ],
58
  "tensor_file": {
59
  "path": "esmc_6b.safetensors",
60
- "sha256": "a948945e985c7deaca7be8b7eed09c0a9521a2af3f2b10fc2ec7a7d2a0f99ada"
61
  },
62
  "tensors": {
63
  "input__attention_mask": {
@@ -84,7 +90,7 @@
84
  63
85
  ]
86
  },
87
- "output__last_hidden_state": {
88
  "dtype": "bfloat16",
89
  "sha256": "397f1a0b45fbb7d486e7785264a37d42de19568d16fdb1d575f79c2389763d2b",
90
  "shape": [
@@ -93,7 +99,7 @@
93
  2560
94
  ]
95
  },
96
- "output__logits": {
97
  "dtype": "bfloat16",
98
  "sha256": "952de90dae9c1868c2006148bcbe04d4fa2886beec6908bc702a097a96315b1f",
99
  "shape": [
@@ -102,6 +108,24 @@
102
  64
103
  ]
104
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
105
  "residue_mask": {
106
  "dtype": "bool",
107
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
17
  },
18
  "environment": {
19
  "details": {
20
+ "cuda_device": "NVIDIA GH200 480GB",
21
+ "cuda_device_capability": "[9,0]",
22
+ "cuda_driver": "570.148.08",
23
  "cuda_runtime": "13.0",
24
+ "cuda_total_memory": "101468602368",
25
+ "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.53\",\"botocore\":\"1.43.53\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.6.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.2\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.1\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.19\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"83.0.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.69.0\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"wheel\":\"0.47.0\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.6.1\"}",
26
+ "platform_machine": "aarch64",
27
  "python": "3.12.3",
28
+ "torch": "2.13.0+cu130",
29
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
30
  },
31
+ "fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
32
  },
33
  "generation_command": [
34
  "python",
 
46
  "schema_version": 1,
47
  "source_files": {
48
  "native/bf16.safetensors": "3c41e3d2b47b03cf573f229df1fb2b15f3d8287ef8ed6eb0336f89f212214d78",
49
+ "native/fp32.safetensors": "2fb7d07612218703c0b9094266a9b2363f1667748f5ec4b0a8e9b6e59efb8b7f",
50
+ "native/metadata.json": "ed7f6d1f5617080ccf9009770b1d8440c2dc806da90f3f8310a85007e3d0032a"
51
  },
52
  "sources": [
53
  {
 
63
  ],
64
  "tensor_file": {
65
  "path": "esmc_6b.safetensors",
66
+ "sha256": "46139de6b28ab4f9e3244fb6ef3f259fc5e6518a3825f0fb4fd4a4fece6da8e6"
67
  },
68
  "tensors": {
69
  "input__attention_mask": {
 
90
  63
91
  ]
92
  },
93
+ "official_bf16__last_hidden_state": {
94
  "dtype": "bfloat16",
95
  "sha256": "397f1a0b45fbb7d486e7785264a37d42de19568d16fdb1d575f79c2389763d2b",
96
  "shape": [
 
99
  2560
100
  ]
101
  },
102
+ "official_bf16__logits": {
103
  "dtype": "bfloat16",
104
  "sha256": "952de90dae9c1868c2006148bcbe04d4fa2886beec6908bc702a097a96315b1f",
105
  "shape": [
 
108
  64
109
  ]
110
  },
111
+ "output__last_hidden_state": {
112
+ "dtype": "float32",
113
+ "sha256": "bb2215f820e1c0e132c7a1163c691cda66d0ea72f330afdc1502252bfe1f53d3",
114
+ "shape": [
115
+ 3,
116
+ 63,
117
+ 2560
118
+ ]
119
+ },
120
+ "output__logits": {
121
+ "dtype": "float32",
122
+ "sha256": "89a38173b034d6860ab6c752ab520064617f57bf1d8b55e89dc32bea18accdfb",
123
+ "shape": [
124
+ 3,
125
+ 63,
126
+ 64
127
+ ]
128
+ },
129
  "residue_mask": {
130
  "dtype": "bool",
131
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/esmc_6b.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a948945e985c7deaca7be8b7eed09c0a9521a2af3f2b10fc2ec7a7d2a0f99ada
3
- size 995810
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46139de6b28ab4f9e3244fb6ef3f259fc5e6518a3825f0fb4fd4a4fece6da8e6
3
+ size 2979762
tests/goldens/esmc_large.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.49\",\"botocore\":\"1.43.49\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.4.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.1\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.0\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.7.3\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "2ee39b50c310ea21ecbb1e87a69bb9a05076126031d2e6566014ba794dd57c1b"
22
  },
23
  "generation_command": [
24
  "python",
@@ -36,7 +41,8 @@
36
  "schema_version": 1,
37
  "source_files": {
38
  "native/bf16.safetensors": "9591067c1bb9a85177c4e5651ceb2980bf90fe8ec81ed86878889266627ec607",
39
- "native/metadata.json": "354a5461a306568886ba799be1264574b526f1760082932b9a3f57c3f4ca19bb"
 
40
  },
41
  "sources": [
42
  {
@@ -52,7 +58,7 @@
52
  ],
53
  "tensor_file": {
54
  "path": "esmc_large.safetensors",
55
- "sha256": "e13302df4cf7e8381552f1043a8fd0f31f3e0d50b2ab6009fb86b7940ae8ff79"
56
  },
57
  "tensors": {
58
  "input__attention_mask": {
@@ -79,7 +85,7 @@
79
  63
80
  ]
81
  },
82
- "output__last_hidden_state": {
83
  "dtype": "bfloat16",
84
  "sha256": "b6b066a58e24b50fbfadb3ed4be47a0ed23c4c6f5e545875a491655a7c2496b0",
85
  "shape": [
@@ -88,7 +94,7 @@
88
  1152
89
  ]
90
  },
91
- "output__logits": {
92
  "dtype": "bfloat16",
93
  "sha256": "10204b50f8f6a3062c60bacea653f2af30d0a2644417dd89eca72ed67ab29541",
94
  "shape": [
@@ -97,6 +103,24 @@
97
  64
98
  ]
99
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "residue_mask": {
101
  "dtype": "bool",
102
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.53\",\"botocore\":\"1.43.53\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.6.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.2\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.1\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.19\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"83.0.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.69.0\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"wheel\":\"0.47.0\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.6.1\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
27
  },
28
  "generation_command": [
29
  "python",
 
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "9591067c1bb9a85177c4e5651ceb2980bf90fe8ec81ed86878889266627ec607",
44
+ "native/fp32.safetensors": "c56f179d97cb84427bca7aa28fe822a2ec7f4f5e7bcfc896e8f3247e55967664",
45
+ "native/metadata.json": "df68a3aa614473168dc81215949525f32f2b388ce262ab74d7271b15c7aa2f8a"
46
  },
47
  "sources": [
48
  {
 
58
  ],
59
  "tensor_file": {
60
  "path": "esmc_large.safetensors",
61
+ "sha256": "2b1ce3de5a7a27f171055f5c7aec4e7e50f0e809a1dc46508aaa0b472365015d"
62
  },
63
  "tensors": {
64
  "input__attention_mask": {
 
85
  63
86
  ]
87
  },
88
+ "official_bf16__last_hidden_state": {
89
  "dtype": "bfloat16",
90
  "sha256": "b6b066a58e24b50fbfadb3ed4be47a0ed23c4c6f5e545875a491655a7c2496b0",
91
  "shape": [
 
94
  1152
95
  ]
96
  },
97
+ "official_bf16__logits": {
98
  "dtype": "bfloat16",
99
  "sha256": "10204b50f8f6a3062c60bacea653f2af30d0a2644417dd89eca72ed67ab29541",
100
  "shape": [
 
103
  64
104
  ]
105
  },
106
+ "output__last_hidden_state": {
107
+ "dtype": "float32",
108
+ "sha256": "312b2a80dec7f4f692f18ad4178382dfb6334aa5924c270540d5737dac658644",
109
+ "shape": [
110
+ 3,
111
+ 63,
112
+ 1152
113
+ ]
114
+ },
115
+ "output__logits": {
116
+ "dtype": "float32",
117
+ "sha256": "bc1c54363d270dd137d2ffc8fbefb7037cd14caf7c50b82500b9288d5c99c4df",
118
+ "shape": [
119
+ 3,
120
+ 63,
121
+ 64
122
+ ]
123
+ },
124
  "residue_mask": {
125
  "dtype": "bool",
126
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/esmc_large.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e13302df4cf7e8381552f1043a8fd0f31f3e0d50b2ab6009fb86b7940ae8ff79
3
- size 463586
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b1ce3de5a7a27f171055f5c7aec4e7e50f0e809a1dc46508aaa0b472365015d
3
+ size 1383082
tests/goldens/esmc_small.json CHANGED
@@ -12,13 +12,18 @@
12
  },
13
  "environment": {
14
  "details": {
15
- "cuda_device": "NVIDIA H100 PCIe",
 
 
16
  "cuda_runtime": "13.0",
17
- "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.49\",\"botocore\":\"1.43.49\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.6.17\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.0.3\",\"cuda-pathfinder\":\"1.2.2\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.29.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.4.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.1\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.0\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.2.78\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.10\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"78.1.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.68.4\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.15.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.7.3\"}",
 
 
18
  "python": "3.12.3",
19
- "torch": "2.13.0+cu130"
 
20
  },
21
- "fingerprint": "2ee39b50c310ea21ecbb1e87a69bb9a05076126031d2e6566014ba794dd57c1b"
22
  },
23
  "generation_command": [
24
  "python",
@@ -36,7 +41,8 @@
36
  "schema_version": 1,
37
  "source_files": {
38
  "native/bf16.safetensors": "72e12b312e802ff56f56e7a210bbaba8e385a7b96101154240ce8a360e691ef9",
39
- "native/metadata.json": "ff43803a664e0670b7f6be238256cfb84dade36994026ac1c8dcecd53478949f"
 
40
  },
41
  "sources": [
42
  {
@@ -52,7 +58,7 @@
52
  ],
53
  "tensor_file": {
54
  "path": "esmc_small.safetensors",
55
- "sha256": "03378d0f0fdd8161178ebb2c1f0da1b9776a726c8e8d3a10c009808a24de5654"
56
  },
57
  "tensors": {
58
  "input__attention_mask": {
@@ -79,7 +85,7 @@
79
  63
80
  ]
81
  },
82
- "output__last_hidden_state": {
83
  "dtype": "bfloat16",
84
  "sha256": "7a21b7f88b158c6dd3bd2fdd4d4c3582f4ac9d735bc9d6e4414b11be1efdbe1d",
85
  "shape": [
@@ -88,7 +94,7 @@
88
  960
89
  ]
90
  },
91
- "output__logits": {
92
  "dtype": "bfloat16",
93
  "sha256": "ac58aa265f493e3fe42a4d7af2f7017c794ccb63d3a6006309e8943d15b3377d",
94
  "shape": [
@@ -97,6 +103,24 @@
97
  64
98
  ]
99
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "residue_mask": {
101
  "dtype": "bool",
102
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
 
12
  },
13
  "environment": {
14
  "details": {
15
+ "cuda_device": "NVIDIA GH200 480GB",
16
+ "cuda_device_capability": "[9,0]",
17
+ "cuda_driver": "570.148.08",
18
  "cuda_runtime": "13.0",
19
+ "cuda_total_memory": "101468602368",
20
+ "packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.53\",\"botocore\":\"1.43.53\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.6.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.2\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.1\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.19\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"83.0.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.69.0\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"wheel\":\"0.47.0\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.6.1\"}",
21
+ "platform_machine": "aarch64",
22
  "python": "3.12.3",
23
+ "torch": "2.13.0+cu130",
24
+ "uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
25
  },
26
+ "fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
27
  },
28
  "generation_command": [
29
  "python",
 
41
  "schema_version": 1,
42
  "source_files": {
43
  "native/bf16.safetensors": "72e12b312e802ff56f56e7a210bbaba8e385a7b96101154240ce8a360e691ef9",
44
+ "native/fp32.safetensors": "1308fa82ed6058cccec0882ef9d70354c8c616c2619b5bd9b8fdc95027aadf4b",
45
+ "native/metadata.json": "8800426bcb980673de2434178cc5dfa66dc2e00968addd0b09931d3a72817e61"
46
  },
47
  "sources": [
48
  {
 
58
  ],
59
  "tensor_file": {
60
  "path": "esmc_small.safetensors",
61
+ "sha256": "98219356e2845cbd10a80715b19c95632956d40567a7a993409c426b56040b06"
62
  },
63
  "tensors": {
64
  "input__attention_mask": {
 
85
  63
86
  ]
87
  },
88
+ "official_bf16__last_hidden_state": {
89
  "dtype": "bfloat16",
90
  "sha256": "7a21b7f88b158c6dd3bd2fdd4d4c3582f4ac9d735bc9d6e4414b11be1efdbe1d",
91
  "shape": [
 
94
  960
95
  ]
96
  },
97
+ "official_bf16__logits": {
98
  "dtype": "bfloat16",
99
  "sha256": "ac58aa265f493e3fe42a4d7af2f7017c794ccb63d3a6006309e8943d15b3377d",
100
  "shape": [
 
103
  64
104
  ]
105
  },
106
+ "output__last_hidden_state": {
107
+ "dtype": "float32",
108
+ "sha256": "bcef57a2b5a7a75f23f9ddfc216e8a6f1780c2585dfcf835818e1c3368897415",
109
+ "shape": [
110
+ 3,
111
+ 63,
112
+ 960
113
+ ]
114
+ },
115
+ "output__logits": {
116
+ "dtype": "float32",
117
+ "sha256": "99cb2fee1532f8d4516f52506130a47b7db1c03cb2a84cb6b7c6294e6220f84d",
118
+ "shape": [
119
+ 3,
120
+ 63,
121
+ 64
122
+ ]
123
+ },
124
  "residue_mask": {
125
  "dtype": "bool",
126
  "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
tests/goldens/esmc_small.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:03378d0f0fdd8161178ebb2c1f0da1b9776a726c8e8d3a10c009808a24de5654
3
- size 391010
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98219356e2845cbd10a80715b19c95632956d40567a7a993409c426b56040b06
3
+ size 1165354
tests/goldens/esmfold2.json CHANGED
@@ -9,14 +9,16 @@
9
  },
10
  "environment": {
11
  "details": {
12
- "cuda_device": "NVIDIA H100 PCIe",
 
13
  "cuda_runtime": "13.0",
 
14
  "python": "3.12.3",
15
  "torch": "2.13.0+cu130",
16
  "transformer_engine": "null",
17
  "transformers": "4.57.6"
18
  },
19
- "fingerprint": "aebef9a5edb6b5694d3ec547d636998a94232000ee91639146e9c4acf90d7589"
20
  },
21
  "generation_command": [
22
  "python",
@@ -29,12 +31,12 @@
29
  "--model",
30
  "esmfold2"
31
  ],
32
- "input_fingerprint": "9237e3e721124a39a0805c93102f159134ec20709d238f83167e8d670ad2bd6e",
33
  "model_id": "esmfold2",
34
  "schema_version": 1,
35
  "source_files": {
36
- "native/bundle.safetensors": "87b39fb97107afd99e0f27d680b57b7060bccc9da2aabf07dd3d8c8f2ffdb048",
37
- "native/metadata.json": "78201aea6ff0d248022f02944a6d6208684bcc75c443c6e4284b9d2659757599"
38
  },
39
  "sources": [
40
  {
@@ -55,7 +57,7 @@
55
  ],
56
  "tensor_file": {
57
  "path": "esmfold2.safetensors",
58
- "sha256": "e4d6be4344c528e26b13f79a9303549e3de7e582da195c0078db3ce957fad420"
59
  },
60
  "tensors": {
61
  "feature__asym_id": {
@@ -269,7 +271,7 @@
269
  },
270
  "output__distogram_logits": {
271
  "dtype": "float32",
272
- "sha256": "77e2c26b6be0f19b7475ea719ecae204a8d23867062faa74c797b0477f904c7b",
273
  "shape": [
274
  1,
275
  56,
@@ -286,7 +288,7 @@
286
  },
287
  "output__pae": {
288
  "dtype": "float32",
289
- "sha256": "b2e3e53d2826852f9007ba30624d2ac8de9ee62e4a7f78cdf21c23cf4ebc406e",
290
  "shape": [
291
  1,
292
  56,
@@ -295,7 +297,7 @@
295
  },
296
  "output__pae_logits": {
297
  "dtype": "float32",
298
- "sha256": "8934a711a31ae98f3f2220a047f43f2cd517280c4feff6d488f0f7064279d8a7",
299
  "shape": [
300
  1,
301
  56,
@@ -305,7 +307,7 @@
305
  },
306
  "output__pde_logits": {
307
  "dtype": "float32",
308
- "sha256": "7b9c807d2ba3439c4f5d5624bc1db51f15ea0a52db5ded336a8f4cd36a8b3995",
309
  "shape": [
310
  1,
311
  56,
@@ -315,7 +317,7 @@
315
  },
316
  "output__plddt": {
317
  "dtype": "float32",
318
- "sha256": "73ea5c74841dc1790c9b5308f091906b493829144f44b882138ec64829d6c035",
319
  "shape": [
320
  1,
321
  56
@@ -323,7 +325,7 @@
323
  },
324
  "output__plddt_logits": {
325
  "dtype": "float32",
326
- "sha256": "cd52df7b2370be2d88cc4ae891abe60768db381b4a816da02d9e321c0c75e10c",
327
  "shape": [
328
  1,
329
  448,
@@ -332,14 +334,14 @@
332
  },
333
  "output__ptm": {
334
  "dtype": "float32",
335
- "sha256": "7e59dc5485e9632f6f2cdd6bdf51ef268e4908c107fb4d07db24e9e79386e121",
336
  "shape": [
337
  1
338
  ]
339
  },
340
  "output__sample_atom_coords": {
341
  "dtype": "float32",
342
- "sha256": "3efc43d9b110b93c55a3290b424ba5cf46b4723481a165b682a3c5123a27f2ca",
343
  "shape": [
344
  1,
345
  448,
 
9
  },
10
  "environment": {
11
  "details": {
12
+ "cuda_device": "NVIDIA GH200 480GB",
13
+ "cuda_device_capability": "[9,0]",
14
  "cuda_runtime": "13.0",
15
+ "cuda_total_memory": "101468602368",
16
  "python": "3.12.3",
17
  "torch": "2.13.0+cu130",
18
  "transformer_engine": "null",
19
  "transformers": "4.57.6"
20
  },
21
+ "fingerprint": "1628ca265963a57b33875fb6bfc871225b6bd4fc976e9deed8905113340328f4"
22
  },
23
  "generation_command": [
24
  "python",
 
31
  "--model",
32
  "esmfold2"
33
  ],
34
+ "input_fingerprint": "9d02a06e40099cb6c58b4eaad6b0f28da6f1ecfdadc0b0e259d734748e71526e",
35
  "model_id": "esmfold2",
36
  "schema_version": 1,
37
  "source_files": {
38
+ "native/bundle.safetensors": "33454730a6ae60647463d3953c43187f82f1ababe0d8e0ea9dd91a9268a9146a",
39
+ "native/metadata.json": "8582569f7f263a2c3e68dba042c315d52127f6320448a942f20b257187449985"
40
  },
41
  "sources": [
42
  {
 
57
  ],
58
  "tensor_file": {
59
  "path": "esmfold2.safetensors",
60
+ "sha256": "a1a9f3b7a9f7e36ef6a7077d76fa1b1c8b5529ed42ac2cfa485797162ce866fb"
61
  },
62
  "tensors": {
63
  "feature__asym_id": {
 
271
  },
272
  "output__distogram_logits": {
273
  "dtype": "float32",
274
+ "sha256": "e0abd489ad1731e3a5ef9e8bcecd181158079f069fdf32046f03cf4e3ec36c2b",
275
  "shape": [
276
  1,
277
  56,
 
288
  },
289
  "output__pae": {
290
  "dtype": "float32",
291
+ "sha256": "90470b9f52f968fd090f124401f36139e4ec3a3ed2e46997beb3e753eb40a1a5",
292
  "shape": [
293
  1,
294
  56,
 
297
  },
298
  "output__pae_logits": {
299
  "dtype": "float32",
300
+ "sha256": "a70236195699096b3def53d8c4682a1b88747281f66451d0fb4e0cba45247c1b",
301
  "shape": [
302
  1,
303
  56,
 
307
  },
308
  "output__pde_logits": {
309
  "dtype": "float32",
310
+ "sha256": "a5177be784b42c7935c28d03b43b6ee46f6945b40534906b1b942663b7d86f5d",
311
  "shape": [
312
  1,
313
  56,
 
317
  },
318
  "output__plddt": {
319
  "dtype": "float32",
320
+ "sha256": "44e88e0c844ba8889938194468b28840d696c2aa0305175b6e06d1eebf340b73",
321
  "shape": [
322
  1,
323
  56
 
325
  },
326
  "output__plddt_logits": {
327
  "dtype": "float32",
328
+ "sha256": "7d6f74c60dbb15cbf526ee7b8bb367c41376dcf5324960ea38696cba87d32375",
329
  "shape": [
330
  1,
331
  448,
 
334
  },
335
  "output__ptm": {
336
  "dtype": "float32",
337
+ "sha256": "8a53376c202c80589bd441b4fd916696c6e46fb69ad0f22fd3a950979c4109ad",
338
  "shape": [
339
  1
340
  ]
341
  },
342
  "output__sample_atom_coords": {
343
  "dtype": "float32",
344
+ "sha256": "df8e56e0435529017d624554fd7fc432af574e18be877a66acb838765ef38726",
345
  "shape": [
346
  1,
347
  448,
tests/goldens/esmfold2.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e4d6be4344c528e26b13f79a9303549e3de7e582da195c0078db3ce957fad420
3
  size 2573976
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1a9f3b7a9f7e36ef6a7077d76fa1b1c8b5529ed42ac2cfa485797162ce866fb
3
  size 2573976
tests/goldens/esmfold2_300.json ADDED
@@ -0,0 +1,292 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "checkpoint": {
3
+ "files": {
4
+ "config.json": "git-sha1:8c9a04fe22b0e5fca77bc4e2861a12c9494ef4d4",
5
+ "model.safetensors": "sha256:44d6797c5efebf24753d502b40950e0874871c96ceea14f2d7f7e39cebac67fd"
6
+ },
7
+ "repo_id": "biohub/ESMFold2-Experimental-Fast-base300M-step1500k",
8
+ "revision": "21531e59002c9205284715e28ee802dafb430637"
9
+ },
10
+ "environment": {
11
+ "details": {
12
+ "cuda_device": "NVIDIA GH200 480GB",
13
+ "cuda_device_capability": "[9,0]",
14
+ "cuda_runtime": "13.0",
15
+ "cuda_total_memory": "101468602368",
16
+ "python": "3.12.3",
17
+ "torch": "2.13.0+cu130",
18
+ "transformer_engine": "null",
19
+ "transformers": "4.57.6"
20
+ },
21
+ "fingerprint": "1628ca265963a57b33875fb6bfc871225b6bd4fc976e9deed8905113340328f4"
22
+ },
23
+ "generation_command": [
24
+ "python",
25
+ "-m",
26
+ "tools.goldens",
27
+ "--native-root",
28
+ "artifacts/reference",
29
+ "--output-root",
30
+ "tests/goldens",
31
+ "--model",
32
+ "esmfold2_300"
33
+ ],
34
+ "input_fingerprint": "93d3bd69165b4d33824a5d01259ab4b29234eae6d6e4bbd483fc418762f71145",
35
+ "model_id": "esmfold2_300",
36
+ "schema_version": 1,
37
+ "source_files": {
38
+ "native/bundle.safetensors": "1b52d1b1edb38d09165e1b49a2e4abf8c002fe86651d452277b5dc8102249761",
39
+ "native/metadata.json": "31b1dc0dc905d0fe1d7e6b176aa2155230542fde35c25ca799cb619f0b193fe3"
40
+ },
41
+ "sources": [
42
+ {
43
+ "id": "biohub-esm",
44
+ "revision": "82ee35553d39169d678f784c8d3f8712ffd7d2c4",
45
+ "url": "https://github.com/Biohub/esm.git"
46
+ },
47
+ {
48
+ "id": "biohub-transformers",
49
+ "revision": "3a8956fb4d4ea16b0ec8e71deef2c2909b6a5cbf",
50
+ "url": "https://github.com/Biohub/transformers.git"
51
+ },
52
+ {
53
+ "id": "protein-ttt",
54
+ "revision": "fde2817cd84b936167cc76ccabf31e5c0fe49962",
55
+ "url": "https://github.com/anton-bushuiev/ProteinTTT.git"
56
+ }
57
+ ],
58
+ "tensor_file": {
59
+ "path": "esmfold2_300.safetensors",
60
+ "sha256": "40a954ff14edc7c2bff95a252241f08db4cae3821ca9b92ae216775cceed8e8b"
61
+ },
62
+ "tensors": {
63
+ "feature__asym_id": {
64
+ "dtype": "int64",
65
+ "sha256": "4076ba2ce2248c4a6e16ad1c70d4a4802b013abde7acab3d910da9b5c1846c02",
66
+ "shape": [
67
+ 1,
68
+ 56
69
+ ]
70
+ },
71
+ "feature__atom_attention_mask": {
72
+ "dtype": "bool",
73
+ "sha256": "311674e8928ea7d4c571757d2f7c9a3ebb17ea71fe840675786ff79ca855d0c5",
74
+ "shape": [
75
+ 1,
76
+ 448
77
+ ]
78
+ },
79
+ "feature__atom_to_token": {
80
+ "dtype": "int64",
81
+ "sha256": "a94836d05854aeeae8bd1a84275187ae311164e4a0cc448777b10b66d22a2e65",
82
+ "shape": [
83
+ 1,
84
+ 448
85
+ ]
86
+ },
87
+ "feature__deletion_mean": {
88
+ "dtype": "float32",
89
+ "sha256": "8c51f4825acbf8ca40bd30065492cb000a9489b8245c9447a4e355f1b41b3dbb",
90
+ "shape": [
91
+ 1,
92
+ 56
93
+ ]
94
+ },
95
+ "feature__deletion_value": {
96
+ "dtype": "float32",
97
+ "sha256": "34688aedb3460cee4d864ac60a112db764823880e1775d653f842a9015c19a92",
98
+ "shape": [
99
+ 1,
100
+ 1,
101
+ 56
102
+ ]
103
+ },
104
+ "feature__distogram_atom_idx": {
105
+ "dtype": "int64",
106
+ "sha256": "56d98551f23b897604f00522013b97b939a25c593ac66492ed70bccb4461f663",
107
+ "shape": [
108
+ 1,
109
+ 56
110
+ ]
111
+ },
112
+ "feature__entity_id": {
113
+ "dtype": "int64",
114
+ "sha256": "568a9a29b407045c55e7793effeaa4b30b336d3e9d02691dda02290107230a1c",
115
+ "shape": [
116
+ 1,
117
+ 56
118
+ ]
119
+ },
120
+ "feature__has_deletion": {
121
+ "dtype": "bool",
122
+ "sha256": "fde502e113e1d0b810151796abfb4616d3c935a9e22f7d1891e86fdb8c971f6c",
123
+ "shape": [
124
+ 1,
125
+ 1,
126
+ 56
127
+ ]
128
+ },
129
+ "feature__input_ids": {
130
+ "dtype": "int64",
131
+ "sha256": "c66b63367006340c1e676e0e2c4440f349286b98786ddc1cceb6f0222b599b95",
132
+ "shape": [
133
+ 1,
134
+ 56
135
+ ]
136
+ },
137
+ "feature__mol_type": {
138
+ "dtype": "int64",
139
+ "sha256": "4076ba2ce2248c4a6e16ad1c70d4a4802b013abde7acab3d910da9b5c1846c02",
140
+ "shape": [
141
+ 1,
142
+ 56
143
+ ]
144
+ },
145
+ "feature__msa": {
146
+ "dtype": "int64",
147
+ "sha256": "14efcbac324a4ec831a0af4ec220ef00a57c98eea17525eb16a8ed22e9dde34b",
148
+ "shape": [
149
+ 1,
150
+ 1,
151
+ 56
152
+ ]
153
+ },
154
+ "feature__msa_attention_mask": {
155
+ "dtype": "bool",
156
+ "sha256": "fa513f2a8c37868e06a9fbb53ac5f6dd9eb28106680113748e9ff868cfa259d5",
157
+ "shape": [
158
+ 1,
159
+ 1,
160
+ 56
161
+ ]
162
+ },
163
+ "feature__ref_atom_name_chars": {
164
+ "dtype": "int64",
165
+ "sha256": "70165370912f9420bfb1a8ebe5b5ba19bf88cd6fbd43395aaaab70189ac3b2ec",
166
+ "shape": [
167
+ 1,
168
+ 448,
169
+ 4
170
+ ]
171
+ },
172
+ "feature__ref_charge": {
173
+ "dtype": "int8",
174
+ "sha256": "cfb9f687b572209e8e604063a450eab9e310e75efea06eea7baceb0a26b2bd5d",
175
+ "shape": [
176
+ 1,
177
+ 448
178
+ ]
179
+ },
180
+ "feature__ref_element": {
181
+ "dtype": "int64",
182
+ "sha256": "933c7e8d6fe684120a67b7e31f85dfbf8fef55ffa0714975eef4327f43661f7a",
183
+ "shape": [
184
+ 1,
185
+ 448
186
+ ]
187
+ },
188
+ "feature__ref_pos": {
189
+ "dtype": "float32",
190
+ "sha256": "f62bc0760285da89fba17299242b3065b453dfc43e399b9c91668cd25626b42b",
191
+ "shape": [
192
+ 1,
193
+ 448,
194
+ 3
195
+ ]
196
+ },
197
+ "feature__ref_space_uid": {
198
+ "dtype": "int64",
199
+ "sha256": "a94836d05854aeeae8bd1a84275187ae311164e4a0cc448777b10b66d22a2e65",
200
+ "shape": [
201
+ 1,
202
+ 448
203
+ ]
204
+ },
205
+ "feature__res_type": {
206
+ "dtype": "int64",
207
+ "sha256": "2b70c203e4364aab90ede5af0f3f98f9ec96e9f9baca1b37600b9651698d2b94",
208
+ "shape": [
209
+ 1,
210
+ 56
211
+ ]
212
+ },
213
+ "feature__residue_index": {
214
+ "dtype": "int64",
215
+ "sha256": "f346dfab37ce849e49d4f9ce562075efc8b707f13bc1e88a7f7c6d40a1589d8a",
216
+ "shape": [
217
+ 1,
218
+ 56
219
+ ]
220
+ },
221
+ "feature__sym_id": {
222
+ "dtype": "int64",
223
+ "sha256": "4076ba2ce2248c4a6e16ad1c70d4a4802b013abde7acab3d910da9b5c1846c02",
224
+ "shape": [
225
+ 1,
226
+ 56
227
+ ]
228
+ },
229
+ "feature__token_attention_mask": {
230
+ "dtype": "bool",
231
+ "sha256": "8670534efd246dcad8a15296b8b8d3093a42bbfd6180da7331fc591f940cf778",
232
+ "shape": [
233
+ 1,
234
+ 56
235
+ ]
236
+ },
237
+ "feature__token_bonds": {
238
+ "dtype": "float32",
239
+ "sha256": "c03665bfd44118d16c7e63946c56dab23f28a9f82e7fb9899204558a7396eba7",
240
+ "shape": [
241
+ 1,
242
+ 56,
243
+ 56,
244
+ 1
245
+ ]
246
+ },
247
+ "feature__token_index": {
248
+ "dtype": "int64",
249
+ "sha256": "f346dfab37ce849e49d4f9ce562075efc8b707f13bc1e88a7f7c6d40a1589d8a",
250
+ "shape": [
251
+ 1,
252
+ 56
253
+ ]
254
+ },
255
+ "noise__initial_standard_normal": {
256
+ "dtype": "float32",
257
+ "sha256": "e3a8639c0782543df8c37ec90776ec1e102ec88ef85c6626e765db4f1a41ae31",
258
+ "shape": [
259
+ 1,
260
+ 448,
261
+ 3
262
+ ]
263
+ },
264
+ "output__atom_pad_mask": {
265
+ "dtype": "bool",
266
+ "sha256": "311674e8928ea7d4c571757d2f7c9a3ebb17ea71fe840675786ff79ca855d0c5",
267
+ "shape": [
268
+ 1,
269
+ 448
270
+ ]
271
+ },
272
+ "output__distogram_logits": {
273
+ "dtype": "bfloat16",
274
+ "sha256": "27a1492aff47c7c60e15c534772c5a3bf6387fed48e7fbcd454fd1451bf76778",
275
+ "shape": [
276
+ 1,
277
+ 56,
278
+ 56,
279
+ 128
280
+ ]
281
+ },
282
+ "output__sample_atom_coords": {
283
+ "dtype": "float32",
284
+ "sha256": "baf927307b1de6975ac8f0002a3a323a0b115626bcaa4372480a42ceb4a665ce",
285
+ "shape": [
286
+ 1,
287
+ 448,
288
+ 3
289
+ ]
290
+ }
291
+ }
292
+ }
tests/goldens/esmfold2_300.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:40a954ff14edc7c2bff95a252241f08db4cae3821ca9b92ae216775cceed8e8b
3
+ size 865376