File size: 6,780 Bytes
07cd9e4
 
 
 
 
 
 
 
 
 
 
 
 
 
62de771
 
 
07cd9e4
62de771
 
 
07cd9e4
62de771
 
07cd9e4
62de771
07cd9e4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62de771
 
07cd9e4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62de771
07cd9e4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62de771
07cd9e4
 
 
 
 
 
 
 
62de771
07cd9e4
 
 
 
 
 
 
 
62de771
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
07cd9e4
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
{
  "checkpoint": {
    "files": {
      "config.json": "git-sha1:71c8241dc28a5fb636248267a0927c0242b264c1",
      "model.safetensors": "sha256:e4232c30fd35fe2f57051ec88a703996ac94520580b4b836894207a3d45d9ff8",
      "special_tokens_map.json": "git-sha1:c907ee1dc19b24241749b32d665c291c7e6e8e4b",
      "tokenizer.json": "git-sha1:81c797f56768b22dec0301fa771f018b7e43e98c",
      "tokenizer_config.json": "git-sha1:2238856624f8d39f03af53a2576c2d9b18c82f61"
    },
    "repo_id": "biohub/ESMC-600M",
    "revision": "a7e82012c83126b9eedb055fea9fa84b6c02f094"
  },
  "environment": {
    "details": {
      "cuda_device": "NVIDIA GH200 480GB",
      "cuda_device_capability": "[9,0]",
      "cuda_driver": "570.148.08",
      "cuda_runtime": "13.0",
      "cuda_total_memory": "101468602368",
      "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\"}",
      "platform_machine": "aarch64",
      "python": "3.12.3",
      "torch": "2.13.0+cu130",
      "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\"}"
    },
    "fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
  },
  "generation_command": [
    "python",
    "-m",
    "tools.goldens",
    "--native-root",
    "artifacts/reference",
    "--output-root",
    "tests/goldens",
    "--model",
    "esmc_large"
  ],
  "input_fingerprint": "182b178e6588beba6a1c681379e3bc8068824eccecc192891173efb89c5068f6",
  "model_id": "esmc_large",
  "schema_version": 1,
  "source_files": {
    "native/bf16.safetensors": "9591067c1bb9a85177c4e5651ceb2980bf90fe8ec81ed86878889266627ec607",
    "native/fp32.safetensors": "c56f179d97cb84427bca7aa28fe822a2ec7f4f5e7bcfc896e8f3247e55967664",
    "native/metadata.json": "df68a3aa614473168dc81215949525f32f2b388ce262ab74d7271b15c7aa2f8a"
  },
  "sources": [
    {
      "id": "biohub-esm",
      "revision": "82ee35553d39169d678f784c8d3f8712ffd7d2c4",
      "url": "https://github.com/Biohub/esm.git"
    },
    {
      "id": "biohub-transformers",
      "revision": "3a8956fb4d4ea16b0ec8e71deef2c2909b6a5cbf",
      "url": "https://github.com/Biohub/transformers.git"
    }
  ],
  "tensor_file": {
    "path": "esmc_large.safetensors",
    "sha256": "2b1ce3de5a7a27f171055f5c7aec4e7e50f0e809a1dc46508aaa0b472365015d"
  },
  "tensors": {
    "input__attention_mask": {
      "dtype": "int64",
      "sha256": "a4e9ccfdfcb15d75f04569d8635f6121b56d1316e59da2db60416ce57f78551f",
      "shape": [
        3,
        63
      ]
    },
    "input__input_ids": {
      "dtype": "int64",
      "sha256": "7c017cc9226e1262e354dd8494e871929c0ef516214ad8afa58c97df32885bed",
      "shape": [
        3,
        63
      ]
    },
    "input__sequence_id": {
      "dtype": "bool",
      "sha256": "546670f3d1d77f83906edd5dac50f17e99493f27136e41b2fcae8d6d3d9613ba",
      "shape": [
        3,
        63
      ]
    },
    "official_bf16__last_hidden_state": {
      "dtype": "bfloat16",
      "sha256": "b6b066a58e24b50fbfadb3ed4be47a0ed23c4c6f5e545875a491655a7c2496b0",
      "shape": [
        3,
        63,
        1152
      ]
    },
    "official_bf16__logits": {
      "dtype": "bfloat16",
      "sha256": "10204b50f8f6a3062c60bacea653f2af30d0a2644417dd89eca72ed67ab29541",
      "shape": [
        3,
        63,
        64
      ]
    },
    "output__last_hidden_state": {
      "dtype": "float32",
      "sha256": "312b2a80dec7f4f692f18ad4178382dfb6334aa5924c270540d5737dac658644",
      "shape": [
        3,
        63,
        1152
      ]
    },
    "output__logits": {
      "dtype": "float32",
      "sha256": "bc1c54363d270dd137d2ffc8fbefb7037cd14caf7c50b82500b9288d5c99c4df",
      "shape": [
        3,
        63,
        64
      ]
    },
    "residue_mask": {
      "dtype": "bool",
      "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
      "shape": [
        3,
        63
      ]
    }
  }
}