diff --git a/tests/goldens/ankh2_large.json b/tests/goldens/ankh2_large.json
index 485d91d4025e2b29d1dce174e4db2bd5cf20633e..4f504c019063e9cd5ee6b205663a617cf1bbfef4 100644
--- a/tests/goldens/ankh2_large.json
+++ b/tests/goldens/ankh2_large.json
@@ -13,13 +13,18 @@
   },
   "environment": {
     "details": {
-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
+      "cuda_device_capability": "[9,0]",
+      "cuda_driver": "570.148.08",
       "cuda_runtime": "13.0",
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+      "platform_machine": "aarch64",
       "python": "3.10.12",
-      "torch": "2.13.0+cu130"
+      "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\"}"
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+    "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
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@@ -37,7 +42,8 @@
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-    "native/metadata.json": "4cf9ad9fe3064e24334d7966346f65cfcd3935cb2166769b6a87631ea843a7bb"
+    "native/fp32.safetensors": "212f4845ad493f5fcc457f8439c25f7c1c2eb81887095a1592462243ed28f161",
+    "native/metadata.json": "ea011c1749b4a31482343363ddea93972fde6b7842b3fbad500b4e849bb469a5"
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@@ -48,7 +54,7 @@
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-    "sha256": "25fe1569f55c635fab8fa49c1d62a889a35a2a738bad921f5764a85b58fd4b5d"
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@@ -67,7 +73,7 @@
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-    "output__last_hidden_state": {
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       "shape": [
@@ -76,6 +82,15 @@
         1536
       ]
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       "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
diff --git a/tests/goldens/ankh2_large.safetensors b/tests/goldens/ankh2_large.safetensors
index 2d85082c798057062d2eb341d85f4606d7e19d2f..7d73802c9fd65221c610451c0cd8c3cf91509362 100644
--- a/tests/goldens/ankh2_large.safetensors
+++ b/tests/goldens/ankh2_large.safetensors
@@ -1,3 +1,3 @@
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-size 574922
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+size 1717818
diff --git a/tests/goldens/ankh3_large.json b/tests/goldens/ankh3_large.json
index 2d7c06a490bf8f55343bbe6ce8ab75bec6402418..1c834857f4f7f759ff020357eb1bbca1e83925e0 100644
--- a/tests/goldens/ankh3_large.json
+++ b/tests/goldens/ankh3_large.json
@@ -14,13 +14,18 @@
   },
   "environment": {
     "details": {
-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
+      "cuda_device_capability": "[9,0]",
+      "cuda_driver": "570.148.08",
       "cuda_runtime": "13.0",
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+      "cuda_total_memory": "101468602368",
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+      "platform_machine": "aarch64",
       "python": "3.10.12",
-      "torch": "2.13.0+cu130"
+      "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\"}"
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@@ -38,7 +43,8 @@
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-    "native/metadata.json": "2c02d3d68eab4c42966f59dc7f04ad2a0009834792791a74bb0115b68fbdf2a4"
+    "native/fp32.safetensors": "90e13d1dbf3bf72b467792cc32655c0be5730099cc3e0b1aeaa0a213d19b81c4",
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@@ -49,7 +55,7 @@
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@@ -68,7 +74,7 @@
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@@ -77,6 +83,15 @@
         1536
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diff --git a/tests/goldens/ankh3_large.safetensors b/tests/goldens/ankh3_large.safetensors
index 3cd7fa6ba8f6338d5f499290f67652a6b2f4651a..5869329f429185f47971f0bd1ea5e3e45fe420af 100644
--- a/tests/goldens/ankh3_large.safetensors
+++ b/tests/goldens/ankh3_large.safetensors
@@ -1,3 +1,3 @@
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+size 1717818
diff --git a/tests/goldens/ankh3_xl.json b/tests/goldens/ankh3_xl.json
index 836a41a3b648705bc149a1724cfd164317b6c93f..9031d94a3a2a6267dbec8fd74f0f08760175072c 100644
--- a/tests/goldens/ankh3_xl.json
+++ b/tests/goldens/ankh3_xl.json
@@ -16,13 +16,18 @@
   },
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-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
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@@ -40,7 +45,8 @@
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@@ -51,7 +57,7 @@
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@@ -70,7 +76,7 @@
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@@ -79,6 +85,15 @@
         2560
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diff --git a/tests/goldens/ankh3_xl.safetensors b/tests/goldens/ankh3_xl.safetensors
index a1f3f2e33bbf11507f0c10508e2545a5c8ddef65..20c5f7dc592b8f229d4bebf80f8648fdbf813fed 100644
--- a/tests/goldens/ankh3_xl.safetensors
+++ b/tests/goldens/ankh3_xl.safetensors
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diff --git a/tests/goldens/ankh_base.json b/tests/goldens/ankh_base.json
index a7ed8420e458de2ee3d9ac5a3c02fdfedd58bbc4..6f5502582cd5f3097b1630b02bf69f9d546be2c3 100644
--- a/tests/goldens/ankh_base.json
+++ b/tests/goldens/ankh_base.json
@@ -12,13 +12,18 @@
   },
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-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
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@@ -36,7 +41,8 @@
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@@ -47,7 +53,7 @@
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@@ -66,7 +72,7 @@
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@@ -75,6 +81,15 @@
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diff --git a/tests/goldens/ankh_base.safetensors b/tests/goldens/ankh_base.safetensors
index 4acb90ecb6486ea1a87ccecd3b0d3e19d4ac3561..3b38a0d0b61dc894142b00a6c1bbbe518c19ff7e 100644
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diff --git a/tests/goldens/ankh_large.json b/tests/goldens/ankh_large.json
index 6c32f842a8a48c8901496580c6a1b72b09951bea..834c14f21f9dd3cdd09b8bb5b47db61d36bf12bb 100644
--- a/tests/goldens/ankh_large.json
+++ b/tests/goldens/ankh_large.json
@@ -12,13 +12,18 @@
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+      "platform_machine": "aarch64",
       "python": "3.10.12",
-      "torch": "2.13.0+cu130"
+      "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\"}"
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-    "fingerprint": "8b5a3c1563644f6c019f497de8a3d707c8f8711499e601e310810f1a599ae5d7"
+    "fingerprint": "281a9a86456781a9adc4e479715a978e4a3303a6f980f76c76c3b4f811cbe3a5"
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   "generation_command": [
     "python",
@@ -36,7 +41,8 @@
   "schema_version": 1,
   "source_files": {
     "native/bf16.safetensors": "fdba8593cfb54ee4532e8f9fef7d5df110d66d245797ba37bb5c24049d918c2e",
-    "native/metadata.json": "7df438c5257521541034e7b8e8190c0c4f4cd31d6fb2b00c4f2c502296f68244"
+    "native/fp32.safetensors": "5177febe81a9f0c4ce38c802ad8642dae5be6de6d91702724022973662fe1943",
+    "native/metadata.json": "9e54f8fe69b78d245bf6fa86ac8e43cf472532928e9ba0088a721765e593a22e"
   },
   "sources": [
     {
@@ -47,7 +53,7 @@
   ],
   "tensor_file": {
     "path": "ankh_large.safetensors",
-    "sha256": "3fb8d3ac27716d15a9ea92aeef6acf2b977bcc887d9b535000539e523673459b"
+    "sha256": "4a7aea66e91cf880b0b839495d7704831725b672fe169f8e7258b5643d77aff9"
   },
   "tensors": {
     "input__attention_mask": {
@@ -66,7 +72,7 @@
         62
       ]
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-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "bfloat16",
       "sha256": "b8f603b15932d06c2aad9baabf6e7811ecf937589078a078ad79745414b21733",
       "shape": [
@@ -75,6 +81,15 @@
         1536
       ]
     },
+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "be8a12886e5920898d4ea4332984ec1d264cfeb9bffee948cd637c0ddb0031fa",
+      "shape": [
+        3,
+        62,
+        1536
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       "dtype": "bool",
       "sha256": "5cdc874e7bff8e7a0a5752d0a4e9c46e6575f188f6ced645f33930d174a90f78",
diff --git a/tests/goldens/ankh_large.safetensors b/tests/goldens/ankh_large.safetensors
index f11b197918729e78b60eb368edd50d0d7127379f..f144653fa3f8b2361f1dc48bc8b5fe829f575352 100644
--- a/tests/goldens/ankh_large.safetensors
+++ b/tests/goldens/ankh_large.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fb8d3ac27716d15a9ea92aeef6acf2b977bcc887d9b535000539e523673459b
-size 574922
+oid sha256:4a7aea66e91cf880b0b839495d7704831725b672fe169f8e7258b5643d77aff9
+size 1717818
diff --git a/tests/goldens/dplm2_150m.json b/tests/goldens/dplm2_150m.json
index f05e615d0d28e5d6184e4ae631987fcbe5e4645a..d70b8706333de8d63eb4eb319490e74739b28493 100644
--- a/tests/goldens/dplm2_150m.json
+++ b/tests/goldens/dplm2_150m.json
@@ -12,13 +12,19 @@
   },
   "environment": {
     "details": {
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+      "cuda_total_memory": "null",
+      "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\\\",\\\"ric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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -29,14 +35,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm2_150m"
+    "dplm2_150m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
   "model_id": "dplm2_150m",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "1c7bf879a98cf293d91d7671ce86f7d2a440515891fa2eef326152995f3a5a03",
-    "native/metadata.json": "68278e51d81ed79c0ccf05a22848102489a00e04376c10b51b6542ddc3828717"
+    "native/fp32.safetensors": "371fe06c6e9ad03dcd228c9a5fcf7e5ad0ee23014d0322f66eee284dfc64a861",
+    "native/metadata.json": "c428fb6cac4331f1a135f4cc50f4390b727e34873bd7cef4cceb73a3af4ccae1",
+    "official_bf16/dplm2_150m.json": "d269de779ea1503de72c77e7b2e6224afc9797bd945b40c571ff6faec782e4aa",
+    "official_bf16/dplm2_150m.safetensors": "17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb"
   },
   "sources": [
     {
@@ -47,7 +57,7 @@
   ],
   "tensor_file": {
     "path": "dplm2_150m.safetensors",
-    "sha256": "17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb"
+    "sha256": "7390559bc54f27f08972c8f0adcf17954065450d937b3984303c1ae1ec003855"
   },
   "tensors": {
     "input__attention_mask": {
@@ -66,7 +76,7 @@
         126
       ]
     },
-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "float32",
       "sha256": "812f85535e9a682122a407c935f8097b08e03ae9bb508f29417a476cdb7047f9",
       "shape": [
@@ -75,7 +85,7 @@
         640
       ]
     },
-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "42eacf345357e9ea31bdb6bca3b99f2df6717a4acef6f16400d5fb864c526a66",
       "shape": [
@@ -84,6 +94,24 @@
         8229
       ]
     },
+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "01f78f144db994b6099520902617057afca7c64dc1aecd5f0a456d85f571d799",
+      "shape": [
+        3,
+        126,
+        640
+      ]
+    },
+    "output__logits": {
+      "dtype": "float32",
+      "sha256": "5aa7986fff3b6df5f6bbe424a2e61c7c7995c1a3604b04df9491e565a20372be",
+      "shape": [
+        3,
+        126,
+        8229
+      ]
+    },
     "residue_mask": {
       "dtype": "bool",
       "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
diff --git a/tests/goldens/dplm2_150m.safetensors b/tests/goldens/dplm2_150m.safetensors
index c56da714ca2c2e842674e88f3b1b85310d6cd9ca..7fe5c9c127c8cbe462746723670b87ae399052b7 100644
--- a/tests/goldens/dplm2_150m.safetensors
+++ b/tests/goldens/dplm2_150m.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17fc26600938ba5364b8ecb96750786d33e9f92bcd4ea4df3e12a389340748eb
-size 13416818
+oid sha256:7390559bc54f27f08972c8f0adcf17954065450d937b3984303c1ae1ec003855
+size 26826946
diff --git a/tests/goldens/dplm2_3b.json b/tests/goldens/dplm2_3b.json
index 1bfe4d2a1a9b67440d13079806e6f0bc4fd88c38..19a47e89a59541358c0b09ea704b6817e4e2b320 100644
--- a/tests/goldens/dplm2_3b.json
+++ b/tests/goldens/dplm2_3b.json
@@ -15,13 +15,19 @@
   },
   "environment": {
     "details": {
-      "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"
+      "cuda_device": "unavailable",
+      "cuda_device_capability": "null",
+      "cuda_driver": "unavailable",
+      "cuda_runtime": "unavailable",
+      "cuda_total_memory": "null",
+      "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\\\",\\\"ric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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -32,7 +38,9 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm2_3b"
+    "dplm2_3b",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
   "limitations": [
@@ -47,8 +55,10 @@
   "model_id": "dplm2_3b",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "2b0868d8e007ac29aa0674528c5c5de5392151d7c8482d86c4e43946334c24d9",
-    "native/metadata.json": "feb45f4491402a908dda1f8a1e7c0b35936a65988bb2af6740b93c39f185832d"
+    "native/fp32.safetensors": "e573082b7476b21c3f1c6cf8e8736bf0737783ae91b2a2ab5ddf76bcca958f9b",
+    "native/metadata.json": "35e6926cfbdfbd0dc498e5e2be7f4cde8b4d05d60056d6ec61e95a0bbf1c003d",
+    "official_bf16/dplm2_3b.json": "d6e0e02af53b13cb129192f06e264758aa21c9ebf4ee82411cf67037082d2329",
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@@ -59,7 +69,7 @@
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   "tensor_file": {
     "path": "dplm2_3b.safetensors",
-    "sha256": "838b11824d08f83bcb0c0b3268e579f3a87dbfb965370cfe5c3f8793b96b1964"
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   "tensors": {
     "input__attention_mask": {
@@ -78,7 +88,7 @@
         126
       ]
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-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "float32",
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@@ -87,7 +97,7 @@
         2560
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-    "output__logits": {
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       "dtype": "float32",
       "sha256": "454a6a8b46a5e687f1338ca83d9e8c43414ffbabbdda905c6977dc168d0b1425",
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@@ -96,6 +106,24 @@
         8229
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+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "f6b52c8a49e56cf8faf3a9426972f9bf737a5320370568261cfa34cc109915d4",
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+        3,
+        126,
+        2560
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+        126,
+        8229
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       "dtype": "bool",
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diff --git a/tests/goldens/dplm2_3b.safetensors b/tests/goldens/dplm2_3b.safetensors
index 56bdbffe3d22d40249867b10914bf11114b0f8cd..fca357a8cadfc7545b1cedbeb1789b465ba7c2b3 100644
--- a/tests/goldens/dplm2_3b.safetensors
+++ b/tests/goldens/dplm2_3b.safetensors
@@ -1,3 +1,3 @@
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-size 16319858
+oid sha256:7490f771f8b8f8137b333f98d6b7dbd2cb48708c8649d4459279a6711b9e5870
+size 32633034
diff --git a/tests/goldens/dplm2_650m.json b/tests/goldens/dplm2_650m.json
index a5da990447632bc5bd60eb1c732beb4d0ebeeb1e..65013fd9939d3bbaf516f52fc5727a602cf49361 100644
--- a/tests/goldens/dplm2_650m.json
+++ b/tests/goldens/dplm2_650m.json
@@ -12,13 +12,19 @@
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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -29,14 +35,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm2_650m"
+    "dplm2_650m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "a7b239a22465f83adf8de7303bb90b0b85ddccfee476137f54331da231059910",
   "model_id": "dplm2_650m",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "ef3369eb9d4ae7c143b7041212bfebf9531b5b75eb1eac4170e07126b9a28e8d",
-    "native/metadata.json": "3fcb1766ae6a2dd7e676ee207dba22c5e73f666b827f63ed2eb44a41686313f6"
+    "native/fp32.safetensors": "cb837c5f7320cf29b20ffed2cdfec9ef6fd22cd90c97e9fa0ec007f9844e017c",
+    "native/metadata.json": "667a44f39ad07965e4866b323900593653451f82fdccf7e754838c503ba10906",
+    "official_bf16/dplm2_650m.json": "d9a7548f9af657a72d441ca70f27379863724fcce8ddd3da4f672104b7bfb772",
+    "official_bf16/dplm2_650m.safetensors": "c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac"
   },
   "sources": [
     {
@@ -47,7 +57,7 @@
   ],
   "tensor_file": {
     "path": "dplm2_650m.safetensors",
-    "sha256": "c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac"
+    "sha256": "c45f4ca267183b11dd06244ed3c3f39cf5b6139f778733fa63a6e2b5a46b0678"
   },
   "tensors": {
     "input__attention_mask": {
@@ -66,7 +76,7 @@
         126
       ]
     },
-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "float32",
       "sha256": "cad36e84d72090e829c3398bc118ec628171d6abca7f2897afef3a9b733599f3",
       "shape": [
@@ -75,7 +85,7 @@
         1280
       ]
     },
-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "abe35860b57a618599cd0351e4640e6d2abfe95b8655242bff788b69ed53c2af",
       "shape": [
@@ -84,6 +94,24 @@
         8229
       ]
     },
+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "a739becd0fdc42f5faf4d2c47ffbf220beabd3edda72f03fd7bb81f108043103",
+      "shape": [
+        3,
+        126,
+        1280
+      ]
+    },
+    "output__logits": {
+      "dtype": "float32",
+      "sha256": "d1a685bc064fa9604ed792cd3ce73dbeb71549329b735688b759fe6c3ea67b91",
+      "shape": [
+        3,
+        126,
+        8229
+      ]
+    },
     "residue_mask": {
       "dtype": "bool",
       "sha256": "ea2dbe6bba30495918cc14a223a43fb6efee780a21cbce1d503cb6200e7ef807",
diff --git a/tests/goldens/dplm2_650m.safetensors b/tests/goldens/dplm2_650m.safetensors
index 33090b92b57b7f8a4ae24cc90a29b5685cea6bcb..df55b3671841923022aaf9f5fe64ce8d02499976 100644
--- a/tests/goldens/dplm2_650m.safetensors
+++ b/tests/goldens/dplm2_650m.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4e0e467c252c3ac813363d2d4b17a5e3bd99e75fad315e76d97689b4655ddac
-size 14384498
+oid sha256:c45f4ca267183b11dd06244ed3c3f39cf5b6139f778733fa63a6e2b5a46b0678
+size 28762314
diff --git a/tests/goldens/dplm_150m.json b/tests/goldens/dplm_150m.json
index 3458147a4de2ba1d8bb93200568344f4858e4a84..e94e39d77a19787971514315e32a362d650ee5c7 100644
--- a/tests/goldens/dplm_150m.json
+++ b/tests/goldens/dplm_150m.json
@@ -12,13 +12,19 @@
   },
   "environment": {
     "details": {
-      "cuda_device": "NVIDIA H100 PCIe",
-      "cuda_runtime": "12.1",
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-      "python": "3.10.12",
-      "torch": "2.2.0+cu121"
+      "cuda_device": "unavailable",
+      "cuda_device_capability": "null",
+      "cuda_driver": "unavailable",
+      "cuda_runtime": "unavailable",
+      "cuda_total_memory": "null",
+      "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\\\",\\\"ric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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -29,14 +35,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm_150m"
+    "dplm_150m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
   "model_id": "dplm_150m",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "1e759d69828a34f943592cfc3f7f63d1976348d68636a922da6604fba5999a54",
-    "native/metadata.json": "5937d1229c6af632bbcc66dc6312d5aa887621d1dd9915e68502ba1e2e68eaed"
+    "native/fp32.safetensors": "43be9dcd82a98d4418f4d7d965fcebded14bcf31454906540b324b47adfff85f",
+    "native/metadata.json": "3df4775f222054632cab6e044e8c9edebecc876255535ce032bb9c1e0aea5aee",
+    "official_bf16/dplm_150m.json": "3228551fe3bed951db9ec97347143ec4462ce7c221ac240b7ce7730948c1dc1f",
+    "official_bf16/dplm_150m.safetensors": "392992235195beed97ab8359b90a2e11e52f4326606f99a471447bed81d146bd"
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@@ -47,7 +57,7 @@
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   "tensor_file": {
     "path": "dplm_150m.safetensors",
-    "sha256": "392992235195beed97ab8359b90a2e11e52f4326606f99a471447bed81d146bd"
+    "sha256": "f8e4ddd580d4708dad2d7da002735b2a01d69ece478c46c4932eb2f3933dc836"
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   "tensors": {
     "input__attention_mask": {
@@ -66,7 +76,7 @@
         63
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-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
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@@ -75,7 +85,7 @@
         640
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-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "763667a137def055ccf8cd87f1bcbcc1eea89ef3e3cff6bf0d3e1ea2ad70d4f8",
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@@ -84,6 +94,24 @@
         33
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+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "b9654994387372fe08bdba70688905205cf0e0cd26b8c6587fd92481db379513",
+      "shape": [
+        3,
+        63,
+        640
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+    "output__logits": {
+      "dtype": "float32",
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+        3,
+        63,
+        33
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       "dtype": "bool",
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diff --git a/tests/goldens/dplm_150m.safetensors b/tests/goldens/dplm_150m.safetensors
index de06b802038347efa25f295cd000c6d4144bb02c..268773063bbe6bf35bffb37e6ff025272c390613 100644
--- a/tests/goldens/dplm_150m.safetensors
+++ b/tests/goldens/dplm_150m.safetensors
@@ -1,3 +1,3 @@
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-size 512449
+oid sha256:f8e4ddd580d4708dad2d7da002735b2a01d69ece478c46c4932eb2f3933dc836
+size 1021437
diff --git a/tests/goldens/dplm_3b.json b/tests/goldens/dplm_3b.json
index 9044b6ba388c609bf9c9fb679400207043942c63..9e58deb44f8af47291a4f3f791ac5989b1b4c1b0 100644
--- a/tests/goldens/dplm_3b.json
+++ b/tests/goldens/dplm_3b.json
@@ -15,13 +15,19 @@
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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -32,14 +38,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm_3b"
+    "dplm_3b",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
   "model_id": "dplm_3b",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "09a98566251cafbdc6daceb9520adcba54430354aa4521e64aaefd04abf46db1",
-    "native/metadata.json": "953287da8d2b74557f718091b10617e100a1e17292a436f483ad03b6cccef7f0"
+    "native/fp32.safetensors": "0dff5627cbf842020ea8b1f148597d99b767aaa44f65cb28f9239f5558bbd829",
+    "native/metadata.json": "9f5421b62b48e67df7cae077a9f7671579674fdf68f6e4ac5f6b2f8646bf5219",
+    "official_bf16/dplm_3b.json": "a5b6df8b9c7b371976892ec1d6c45581a32ad3a6325c6c0a0b3267012848c8ed",
+    "official_bf16/dplm_3b.safetensors": "75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e"
   },
   "sources": [
     {
@@ -50,7 +60,7 @@
   ],
   "tensor_file": {
     "path": "dplm_3b.safetensors",
-    "sha256": "75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e"
+    "sha256": "6942218079232a8185b1ae6e1578474c7784722e28f528b76ec89ca77777e2b9"
   },
   "tensors": {
     "input__attention_mask": {
@@ -69,7 +79,7 @@
         63
       ]
     },
-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "float32",
       "sha256": "7bd04473fafb3b2b78862690864be2ccfefbed12fdc3cd63162cd652cc292c06",
       "shape": [
@@ -78,7 +88,7 @@
         2560
       ]
     },
-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "ece5b588a39984172a16a3b10a23b79163a94fad65efd63c52228e7440dd7132",
       "shape": [
@@ -87,6 +97,24 @@
         33
       ]
     },
+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "53a4370f711bbbd0c72affe531ee36b7f03cc3ce620d7dba7ac7687b411f21d5",
+      "shape": [
+        3,
+        63,
+        2560
+      ]
+    },
+    "output__logits": {
+      "dtype": "float32",
+      "sha256": "6f99c3f4acb357842f86390c0c4ced439bf7e1cef1d175ce498dae6112555054",
+      "shape": [
+        3,
+        63,
+        33
+      ]
+    },
     "residue_mask": {
       "dtype": "bool",
       "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
diff --git a/tests/goldens/dplm_3b.safetensors b/tests/goldens/dplm_3b.safetensors
index fb02371a65c2170e9af171eb4ec701d53cd0d698..e484faf1a4f96eee115623ffd155fdcd711c846d 100644
--- a/tests/goldens/dplm_3b.safetensors
+++ b/tests/goldens/dplm_3b.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75b0a0854fc391133920b0feaaeb8f69ab7568a88b3759627aca1556c4338c1e
-size 1963977
+oid sha256:6942218079232a8185b1ae6e1578474c7784722e28f528b76ec89ca77777e2b9
+size 3924485
diff --git a/tests/goldens/dplm_650m.json b/tests/goldens/dplm_650m.json
index 0f670e8d154a88447e5551cbcf4ebd88d4e2a163..b4a6ecf21e90dad2264c480c3deba23746957647 100644
--- a/tests/goldens/dplm_650m.json
+++ b/tests/goldens/dplm_650m.json
@@ -12,13 +12,19 @@
   },
   "environment": {
     "details": {
-      "cuda_device": "NVIDIA H100 PCIe",
-      "cuda_runtime": "12.1",
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-      "python": "3.10.12",
-      "torch": "2.2.0+cu121"
+      "cuda_device": "unavailable",
+      "cuda_device_capability": "null",
+      "cuda_driver": "unavailable",
+      "cuda_runtime": "unavailable",
+      "cuda_total_memory": "null",
+      "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\\\",\\\"ric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+      "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\"}",
+      "platform_machine": "aarch64",
+      "python": "3.10.22",
+      "torch": "2.2.0",
+      "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": "cd54743355027f7ac24d7f456e3807a2037601cdfc9eb57db041a839c3bfc503"
+    "fingerprint": "a08ef3120e91a4e269303d9fdc758dbc93ca53f1ca0130e3a48f2447bf9b35f0"
   },
   "generation_command": [
     "python",
@@ -29,14 +35,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "dplm_650m"
+    "dplm_650m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "20ef27191e0e1f305f2345f8ed813f3cf685c82856a90fce0fa9e5209ce3696e",
   "model_id": "dplm_650m",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "ae328ef52a23b5f741389343aeee3f2e9aeb3dee239f88cbb010e51462160e8c",
-    "native/metadata.json": "e64e455ff06879ae6bed50586c348617757a0257f6b77a39669aab8b1fc39a63"
+    "native/fp32.safetensors": "72f7208b74cac4da1cc84c9a2468dea932c3006fb2825bb6bb599970434c4f74",
+    "native/metadata.json": "9a708dc9a60d39010df85e0bb83d26e332d5f8aa6c0d01b7a0c1593207157882",
+    "official_bf16/dplm_650m.json": "bf58d0ce73aaac7e6fb1923ef3d9adad67122df2a3dd414c3229488ef9587a6d",
+    "official_bf16/dplm_650m.safetensors": "073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378"
   },
   "sources": [
     {
@@ -47,7 +57,7 @@
   ],
   "tensor_file": {
     "path": "dplm_650m.safetensors",
-    "sha256": "073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378"
+    "sha256": "70e2c46ed722942d3b628b556b92c9994688cb4853b278eb1e40a3dfbbd9dfc4"
   },
   "tensors": {
     "input__attention_mask": {
@@ -66,7 +76,7 @@
         63
       ]
     },
-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "float32",
       "sha256": "d0a0c5607de8dca67c4bd94f1c4774f100e0ba7cb8e261ace5af2fcec66b7d35",
       "shape": [
@@ -75,7 +85,7 @@
         1280
       ]
     },
-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "30ba6b9275ff1c61e8aacf76024657c50eb2d7bff1908fe86b64d449eb4aae4e",
       "shape": [
@@ -84,6 +94,24 @@
         33
       ]
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+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "5a296266331309cbd54247557301a2eae0f83a4de20fd256b6407c6384367931",
+      "shape": [
+        3,
+        63,
+        1280
+      ]
+    },
+    "output__logits": {
+      "dtype": "float32",
+      "sha256": "a9ba51336ba67f559893f3b702c6c137a10d02b746c8afcae2535f6d963ff023",
+      "shape": [
+        3,
+        63,
+        33
+      ]
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       "dtype": "bool",
       "sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
diff --git a/tests/goldens/dplm_650m.safetensors b/tests/goldens/dplm_650m.safetensors
index 1900562ec19e309db5d95cca23e59168396666e0..774e6b1b11c8b39550ebffb7a5bbcaa8097bbbd6 100644
--- a/tests/goldens/dplm_650m.safetensors
+++ b/tests/goldens/dplm_650m.safetensors
@@ -1,3 +1,3 @@
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-oid sha256:073f0a6abea7e48f28c2d921ff8329a28e22627f01979277cb324908a01b3378
-size 996297
+oid sha256:70e2c46ed722942d3b628b556b92c9994688cb4853b278eb1e40a3dfbbd9dfc4
+size 1989117
diff --git a/tests/goldens/e1_150m.json b/tests/goldens/e1_150m.json
index b33c76b0d86ec0d5b8a3622cd74d901d959fb974..3064362b3c6f34059fcb455f2bbb8691e55c9c0f 100644
--- a/tests/goldens/e1_150m.json
+++ b/tests/goldens/e1_150m.json
@@ -9,13 +9,19 @@
   },
   "environment": {
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-      "cuda_runtime": "12.8",
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+      "platform_machine": "aarch64",
+      "python": "3.12.15",
+      "torch": "2.8.0+cpu",
+      "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\"}"
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+    "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
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     "python",
@@ -26,14 +32,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "e1_150m"
+    "e1_150m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
   "model_id": "e1_150m",
   "schema_version": 1,
   "source_files": {
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-    "native/metadata.json": "73f52ea3dc06148a766aa7ce0a9261b38c7c634e810399c0e46c9956bdadff42"
+    "native/fp32.safetensors": "fe6b364cdfc3ed9e83f102ab662a58be5d0d878b5197027610bb76cd6406d31f",
+    "native/metadata.json": "9fcd266e67f594fc2aad55ba9cc3696470ba306738d59411a5fea034db03f7e4",
+    "official_bf16/e1_150m.json": "701a64a6ab1a2fec5a427555b6af96232526c15cb3d5b4dc7fb253ac8f20b922",
+    "official_bf16/e1_150m.safetensors": "6558bc8f1a7b20629eaaaa6f72601d0c2cdb859a5dc13595549b1773b6e2de41"
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@@ -44,7 +54,7 @@
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   "tensor_file": {
     "path": "e1_150m.safetensors",
-    "sha256": "6558bc8f1a7b20629eaaaa6f72601d0c2cdb859a5dc13595549b1773b6e2de41"
+    "sha256": "03a2e93e7b3e54b12f99eea7678ff80828922f92c3683d4909346a05d74815bc"
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   "tensors": {
     "input__global_position_ids": {
@@ -79,7 +89,7 @@
         65
       ]
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-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "bfloat16",
       "sha256": "52e65a4d037775956a7a65cc4d78ffbbb54d66f06be3695c55ed9f5cebee1efe",
       "shape": [
@@ -88,7 +98,7 @@
         768
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-    "output__logits": {
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       "sha256": "37a7e36f520330df7364f9f17c2a40fb1a0aae853312eee2b7e210533f6ccdb9",
       "shape": [
@@ -97,6 +107,24 @@
         34
       ]
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+      "dtype": "float32",
+      "sha256": "072e8b95581fa90a98fecaa08e7beca6c389905150eac98c2d67f1b9c924ebbe",
+      "shape": [
+        3,
+        65,
+        768
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+        3,
+        65,
+        34
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       "dtype": "bool",
       "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
diff --git a/tests/goldens/e1_150m.safetensors b/tests/goldens/e1_150m.safetensors
index 0a61c772d11e35c2c8443bfb9e6e843147edb13d..8f50d118159b0e2190f589ceed85a4070d490f1f 100644
--- a/tests/goldens/e1_150m.safetensors
+++ b/tests/goldens/e1_150m.safetensors
@@ -1,3 +1,3 @@
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-size 333099
+oid sha256:03a2e93e7b3e54b12f99eea7678ff80828922f92c3683d4909346a05d74815bc
+size 958851
diff --git a/tests/goldens/e1_300m.json b/tests/goldens/e1_300m.json
index f451e967d9a9c02e1e1008249b7e8e5ec4eb55cf..2a9c0ec3f20bd6a6d61f537d24a0bcef5fefac80 100644
--- a/tests/goldens/e1_300m.json
+++ b/tests/goldens/e1_300m.json
@@ -9,13 +9,19 @@
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+      "platform_machine": "aarch64",
+      "python": "3.12.15",
+      "torch": "2.8.0+cpu",
+      "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": "190e7e4a5c17d3b86756f71b7788e6bed7a86716fe1a987cc06009dfa54ebee9"
+    "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
   },
   "generation_command": [
     "python",
@@ -26,14 +32,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "e1_300m"
+    "e1_300m",
+    "--official-bf16-golden-root",
+    "artifacts/reference/official_bf16_goldens"
   ],
   "input_fingerprint": "69c301728d054b0ab450b9631d5ff8bac2822e0ff35542c7923b58cae4571da9",
   "model_id": "e1_300m",
   "schema_version": 1,
   "source_files": {
-    "native/bf16.safetensors": "52338c7641eeb720e87ad35ee48f54f585e38f15e7178163fe5d767e2f49e7e7",
-    "native/metadata.json": "9404d69bfdcfd1d2b2b63d7f407b93df80115be91bb9b8554ada7c6f1d8d6270"
+    "native/fp32.safetensors": "c505de765a670b55d3bb23c852754ec8bb48413ad90490c6999e5cef3f515896",
+    "native/metadata.json": "2ced7da308494b230f2450aadce2bfa055690c47cad8a5201a0852f059c9ffbc",
+    "official_bf16/e1_300m.json": "d3478f3f5957a0e0377864074dde0107de890019f96cb63548ee17ffb8f3ec3a",
+    "official_bf16/e1_300m.safetensors": "92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188"
   },
   "sources": [
     {
@@ -44,7 +54,7 @@
   ],
   "tensor_file": {
     "path": "e1_300m.safetensors",
-    "sha256": "92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188"
+    "sha256": "d125ea866899d2788330d6877d77c48c69febbf7f01d629f4107f9647cfa13ff"
   },
   "tensors": {
     "input__global_position_ids": {
@@ -79,7 +89,7 @@
         65
       ]
     },
-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
       "dtype": "bfloat16",
       "sha256": "7b9127c81f260c8b356ea0cbd5350651ea2f6745ce6ecea0399fc8d437dae058",
       "shape": [
@@ -88,7 +98,7 @@
         1024
       ]
     },
-    "output__logits": {
+    "official_bf16__logits": {
       "dtype": "float32",
       "sha256": "ebeb995d44c50e94b864f3a77933bfac4510ab0e8fe7602bdaa309996eaafe1b",
       "shape": [
@@ -97,6 +107,24 @@
         34
       ]
     },
+    "output__last_hidden_state": {
+      "dtype": "float32",
+      "sha256": "d6fd46247eb48b4c383428dd6f8e56be66ba2047326ac61309d190b3c15f4e5b",
+      "shape": [
+        3,
+        65,
+        1024
+      ]
+    },
+    "output__logits": {
+      "dtype": "float32",
+      "sha256": "e184afeac186a6f1e51c7b9f7e203b7b4a9eb40eda62c33367a928ada8243f94",
+      "shape": [
+        3,
+        65,
+        34
+      ]
+    },
     "residue_mask": {
       "dtype": "bool",
       "sha256": "a622292a616841968bf5ad71c03d53a1f7ac3cbb9b26a1cdaab65c36bb4116a1",
diff --git a/tests/goldens/e1_300m.safetensors b/tests/goldens/e1_300m.safetensors
index 40c36700f58ad1d5b9e80dbcb81c5aaed817b228..53bbcecd13112ba2ca2111a13cc8b5764fff5a88 100644
--- a/tests/goldens/e1_300m.safetensors
+++ b/tests/goldens/e1_300m.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92778b9ef95a803ddc84b3e3ca764c59e045872a94bcff0eb0cd47647732c188
-size 432939
+oid sha256:d125ea866899d2788330d6877d77c48c69febbf7f01d629f4107f9647cfa13ff
+size 1258379
diff --git a/tests/goldens/e1_600m.json b/tests/goldens/e1_600m.json
index f2d02c3d6f7c2124bd1c4cdfbc6854dd818ab757..3ff40949c8214ccaacfdfd794c5d79bc7a67f74b 100644
--- a/tests/goldens/e1_600m.json
+++ b/tests/goldens/e1_600m.json
@@ -9,13 +9,19 @@
   },
   "environment": {
     "details": {
-      "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"
+      "cuda_device": "unavailable",
+      "cuda_device_capability": "null",
+      "cuda_driver": "unavailable",
+      "cuda_runtime": "unavailable",
+      "cuda_total_memory": "null",
+      "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\"}",
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+      "platform_machine": "aarch64",
+      "python": "3.12.15",
+      "torch": "2.8.0+cpu",
+      "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\"}"
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-    "fingerprint": "190e7e4a5c17d3b86756f71b7788e6bed7a86716fe1a987cc06009dfa54ebee9"
+    "fingerprint": "19e4e3e305fb8d3a7ace10f1aa894af131e45f8771b610390e3e2205f762dd3c"
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   "generation_command": [
     "python",
@@ -26,14 +32,18 @@
     "--output-root",
     "tests/goldens",
     "--model",
-    "e1_600m"
+    "e1_600m",
+    "--official-bf16-golden-root",
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@@ -44,7 +54,7 @@
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@@ -79,7 +89,7 @@
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@@ -88,7 +98,7 @@
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@@ -97,6 +107,24 @@
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@@ -12,13 +12,18 @@
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@@ -66,9 +72,27 @@
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+++ b/tests/goldens/esm2_35m.json
@@ -12,13 +12,18 @@
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@@ -35,8 +40,9 @@
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@@ -47,7 +53,7 @@
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@@ -66,9 +72,27 @@
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@@ -36,8 +41,9 @@
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@@ -67,9 +73,27 @@
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diff --git a/tests/goldens/esm2_3b.safetensors b/tests/goldens/esm2_3b.safetensors
index adb470ffe5f0e65761afb2e08665c36513cbe2bd..6f7343de05ce422a027944a8add5b5a6ba2f5fab 100644
--- a/tests/goldens/esm2_3b.safetensors
+++ b/tests/goldens/esm2_3b.safetensors
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diff --git a/tests/goldens/esm2_650m.json b/tests/goldens/esm2_650m.json
index 82626eba363b9b48ca751d91c07dfc26bde64275..915691e18f9851e7d6d3f45ef92cb472870d8443 100644
--- a/tests/goldens/esm2_650m.json
+++ b/tests/goldens/esm2_650m.json
@@ -12,13 +12,18 @@
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@@ -66,9 +72,27 @@
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index 7b9f7731f72d2b58c047a52b5385df6e3a5ceb4a..86966c6b1672532a9e77c5429bcb33e23b750136 100644
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+++ b/tests/goldens/esm2_8m.json
@@ -12,13 +12,18 @@
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+    "native/fp32.safetensors": "0200c34796d2e71fe10212390a89f0feb5003c191649af4e11b1dfa4cd300fc5",
+    "native/metadata.json": "51fd54dc3e05057cefb64bba6ef9a48221c40f7bd9732680dd5f4d2f5f00ab29"
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@@ -47,7 +53,7 @@
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-    "sha256": "b40217566c33c71988d28869de353be54a3b3ebfc21fdfd29056e88cf7e99f4c"
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     "input__attention_mask": {
@@ -66,9 +72,27 @@
         63
       ]
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+    "official_bf16__last_hidden_state": {
+      "dtype": "float32",
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+      "shape": [
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+        63,
+        320
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@@ -77,7 +101,7 @@
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diff --git a/tests/goldens/esm2_8m.safetensors b/tests/goldens/esm2_8m.safetensors
index 8c586a0ab35e836fb3f89ee2ba6dcfb12b6fe2ca..52f05f606755cebbf3862e3b33e210d6e1af041a 100644
--- a/tests/goldens/esm2_8m.safetensors
+++ b/tests/goldens/esm2_8m.safetensors
@@ -1,3 +1,3 @@
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diff --git a/tests/goldens/esm3_small.json b/tests/goldens/esm3_small.json
index b98cf60f1372e40c47618acfe55286a4a322e1f9..d78cb1bb421147c4a45d192ae346922191aec161 100644
--- a/tests/goldens/esm3_small.json
+++ b/tests/goldens/esm3_small.json
@@ -12,13 +12,18 @@
   },
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-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
+      "cuda_device_capability": "[9,0]",
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       "python": "3.12.3",
-      "torch": "2.13.0+cu130"
+      "torch": "2.13.0+cu130",
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@@ -36,7 +41,8 @@
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-    "native/metadata.json": "3983df0b109c4a90dd37d359155442d1dd77c75bedf7c92b02ddf7f1212a452e"
+    "native/fp32.safetensors": "8a6ca8c1bf1629c58a49269adb7c2bd611ffaed9dec9884398d818ba7bc8b747",
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@@ -52,7 +58,7 @@
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@@ -71,7 +77,7 @@
         63
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-    "output__last_hidden_state": {
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@@ -80,7 +86,7 @@
         1536
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@@ -89,6 +95,24 @@
         64
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diff --git a/tests/goldens/esm3_small.safetensors b/tests/goldens/esm3_small.safetensors
index b636f196df04f195d8fe7ac3881e139c815cce00..7842af3f0984652098637ab928eb94877b4fc641 100644
--- a/tests/goldens/esm3_small.safetensors
+++ b/tests/goldens/esm3_small.safetensors
@@ -1,3 +1,3 @@
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+size 2398877
diff --git a/tests/goldens/esmc_6b.json b/tests/goldens/esmc_6b.json
index 5f1c5c056b386ae709a0111672373a967d7f945a..c751c358c5a3ddd056db5ff13483dbac271eb13b 100644
--- a/tests/goldens/esmc_6b.json
+++ b/tests/goldens/esmc_6b.json
@@ -17,13 +17,18 @@
   },
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-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
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       "python": "3.12.3",
-      "torch": "2.13.0+cu130"
+      "torch": "2.13.0+cu130",
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     "python",
@@ -41,7 +46,8 @@
   "schema_version": 1,
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-    "native/metadata.json": "43b4fc3571d0ae565ddad8423e8e1e90de2daf484bae4192b2f61d867e4e8990"
+    "native/fp32.safetensors": "2fb7d07612218703c0b9094266a9b2363f1667748f5ec4b0a8e9b6e59efb8b7f",
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@@ -57,7 +63,7 @@
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     "path": "esmc_6b.safetensors",
-    "sha256": "a948945e985c7deaca7be8b7eed09c0a9521a2af3f2b10fc2ec7a7d2a0f99ada"
+    "sha256": "46139de6b28ab4f9e3244fb6ef3f259fc5e6518a3825f0fb4fd4a4fece6da8e6"
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     "input__attention_mask": {
@@ -84,7 +90,7 @@
         63
       ]
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-    "output__last_hidden_state": {
+    "official_bf16__last_hidden_state": {
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@@ -93,7 +99,7 @@
         2560
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-    "output__logits": {
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       "sha256": "952de90dae9c1868c2006148bcbe04d4fa2886beec6908bc702a097a96315b1f",
       "shape": [
@@ -102,6 +108,24 @@
         64
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+    "output__last_hidden_state": {
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+      "sha256": "bb2215f820e1c0e132c7a1163c691cda66d0ea72f330afdc1502252bfe1f53d3",
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+        63,
+        2560
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diff --git a/tests/goldens/esmc_6b.safetensors b/tests/goldens/esmc_6b.safetensors
index a65cd83d3bb1bd13199f6919617fcb2c97560a5e..e65fff9ac93f200ec9ea032939b93aa1dc411774 100644
--- a/tests/goldens/esmc_6b.safetensors
+++ b/tests/goldens/esmc_6b.safetensors
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a948945e985c7deaca7be8b7eed09c0a9521a2af3f2b10fc2ec7a7d2a0f99ada
-size 995810
+oid sha256:46139de6b28ab4f9e3244fb6ef3f259fc5e6518a3825f0fb4fd4a4fece6da8e6
+size 2979762
diff --git a/tests/goldens/esmc_large.json b/tests/goldens/esmc_large.json
index b6784319f2d5bd382fa07aa178ee2d74cfc90553..9ad59c4ab230ee50f799b6cfe72b6955782d6af8 100644
--- a/tests/goldens/esmc_large.json
+++ b/tests/goldens/esmc_large.json
@@ -12,13 +12,18 @@
   },
   "environment": {
     "details": {
-      "cuda_device": "NVIDIA H100 PCIe",
+      "cuda_device": "NVIDIA GH200 480GB",
+      "cuda_device_capability": "[9,0]",
+      "cuda_driver": "570.148.08",
       "cuda_runtime": "13.0",
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@@ -36,7 +41,8 @@
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@@ -52,7 +58,7 @@
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@@ -79,7 +85,7 @@
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@@ -88,7 +94,7 @@
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@@ -97,6 +103,24 @@
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diff --git a/tests/goldens/esmc_large.safetensors b/tests/goldens/esmc_large.safetensors
index c5c23e463cb57b549a46d044a5bb269c669d1f0e..4ffb211578a39e5276b50baf793d82f54da15cb3 100644
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index 16f067777cc754e9f6632936661a0dd3548669bc..85f4823280abd9ef9cf5b893bd1a1dc36e9a4d4a 100644
--- a/tests/goldens/esmc_small.json
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@@ -12,13 +12,18 @@
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@@ -36,7 +41,8 @@
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@@ -52,7 +58,7 @@
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@@ -79,7 +85,7 @@
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@@ -88,7 +94,7 @@
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@@ -97,6 +103,24 @@
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diff --git a/tests/goldens/esmc_small.safetensors b/tests/goldens/esmc_small.safetensors
index a8322e943cf133ce8252dbcb4d69fd43fa7cd2d3..5b57f041d8e16cfec38fb8d49797eb09e972a67f 100644
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diff --git a/tests/goldens/esmfold2.json b/tests/goldens/esmfold2.json
index 93a5d38195d96964ec63e9e335e7ff23c52b003c..e36564e914a5a90db53dbed0049c758c436b833a 100644
--- a/tests/goldens/esmfold2.json
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@@ -9,14 +9,16 @@
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diff --git a/tests/goldens/esmfold2.safetensors b/tests/goldens/esmfold2.safetensors
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new file mode 100644
index 0000000000000000000000000000000000000000..a231bee9241b3503a4967fa25eb808e2f24a08ce
--- /dev/null
+++ b/tests/goldens/esmfold2_300.json
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