FastPLMs-artifacts / tests /goldens /esmc_small.json
lhallee's picture
Re-record goldens against FP32 truth for Synthyra/FastPLMs#52
62de771 verified
Raw History Blame Contribute Delete
6.78 kB
{
"checkpoint": {
"files": {
"config.json": "git-sha1:9a49eacf4e65c39f74381f0f0d240e3b89ef43d7",
"model.safetensors": "sha256:0772d8fe64bb25e14fe6f23b80e3c9a7d215d0da3c6cba5bd356d7c0e0bb22cc",
"special_tokens_map.json": "git-sha1:c907ee1dc19b24241749b32d665c291c7e6e8e4b",
"tokenizer.json": "git-sha1:81c797f56768b22dec0301fa771f018b7e43e98c",
"tokenizer_config.json": "git-sha1:2238856624f8d39f03af53a2576c2d9b18c82f61"
},
"repo_id": "biohub/ESMC-300M",
"revision": "a59b831785f907e96e6a246b1d142bfb76df31ee"
},
"environment": {
"details": {
"cuda_device": "NVIDIA GH200 480GB",
"cuda_device_capability": "[9,0]",
"cuda_driver": "570.148.08",
"cuda_runtime": "13.0",
"cuda_total_memory": "101468602368",
"packages": "{\"accelerate\":\"1.13.0\",\"anyio\":\"4.14.2\",\"asttokens\":\"3.0.2\",\"attrs\":\"26.1.0\",\"biopython\":\"1.87\",\"biotite\":\"1.7.1\",\"biotraj\":\"1.2.2\",\"boto3\":\"1.43.53\",\"botocore\":\"1.43.53\",\"brotli\":\"1.2.0\",\"certifi\":\"2026.7.22\",\"charset-normalizer\":\"3.4.9\",\"cloudpathlib\":\"0.24.0\",\"comm\":\"0.2.3\",\"contourpy\":\"1.3.3\",\"cuda-bindings\":\"13.3.1\",\"cuda-pathfinder\":\"1.6.0\",\"cuda-toolkit\":\"13.0.3.0\",\"cycler\":\"0.12.1\",\"decorator\":\"5.3.1\",\"dna_features_viewer\":\"3.1.5\",\"einops\":\"0.8.2\",\"esm\":\"3.3.0\",\"executing\":\"2.2.1\",\"filelock\":\"3.32.0\",\"fonttools\":\"4.63.0\",\"fsspec\":\"2026.6.0\",\"h11\":\"0.16.0\",\"hf-xet\":\"1.5.2\",\"httpcore\":\"1.0.9\",\"httpx\":\"0.28.1\",\"huggingface_hub\":\"0.36.2\",\"idna\":\"3.18\",\"iniconfig\":\"2.3.0\",\"ipython\":\"9.15.0\",\"ipython_pygments_lexers\":\"1.1.1\",\"ipywidgets\":\"8.1.8\",\"jedi\":\"0.20.0\",\"jinja2\":\"3.1.6\",\"jmespath\":\"1.1.0\",\"joblib\":\"1.5.3\",\"jupyterlab_widgets\":\"3.0.16\",\"kiwisolver\":\"1.5.0\",\"markupsafe\":\"3.0.3\",\"matplotlib\":\"3.11.1\",\"matplotlib-inline\":\"0.2.2\",\"mpmath\":\"1.3.0\",\"msgpack\":\"1.2.1\",\"msgpack-numpy\":\"0.4.8\",\"narwhals\":\"2.24.0\",\"networkx\":\"3.6.1\",\"numpy\":\"1.26.4\",\"nvidia-cublas\":\"13.1.1.3\",\"nvidia-cuda-cupti\":\"13.0.85\",\"nvidia-cuda-nvrtc\":\"13.0.88\",\"nvidia-cuda-runtime\":\"13.0.96\",\"nvidia-cudnn-cu13\":\"9.20.0.48\",\"nvidia-cufft\":\"12.0.0.61\",\"nvidia-cufile\":\"1.15.1.6\",\"nvidia-curand\":\"10.4.0.35\",\"nvidia-cusolver\":\"12.0.4.66\",\"nvidia-cusparse\":\"12.6.3.3\",\"nvidia-cusparselt-cu13\":\"0.8.1\",\"nvidia-nccl-cu13\":\"2.29.7\",\"nvidia-nvjitlink\":\"13.3.33\",\"nvidia-nvshmem-cu13\":\"3.4.5\",\"nvidia-nvtx\":\"13.0.85\",\"packaging\":\"26.2\",\"pandas\":\"3.0.3\",\"parso\":\"0.8.7\",\"pexpect\":\"4.9.0\",\"pillow\":\"12.3.0\",\"pip\":\"26.1.1\",\"pluggy\":\"1.6.0\",\"prompt_toolkit\":\"3.0.52\",\"psutil\":\"7.2.2\",\"ptyprocess\":\"0.7.0\",\"pure_eval\":\"0.2.3\",\"py3dmol\":\"2.5.5\",\"pydssp\":\"0.9.1\",\"pygments\":\"2.20.0\",\"pygtrie\":\"2.5.0\",\"pyparsing\":\"3.3.2\",\"pytest\":\"9.0.2\",\"python-dateutil\":\"2.9.0.post0\",\"pyyaml\":\"6.0.3\",\"rdkit\":\"2026.3.4\",\"regex\":\"2026.7.19\",\"requests\":\"2.34.2\",\"s3transfer\":\"0.19.1\",\"safetensors\":\"0.5.3\",\"scikit-learn\":\"1.9.0\",\"scipy\":\"1.17.1\",\"setuptools\":\"83.0.0\",\"six\":\"1.17.0\",\"stack-data\":\"0.6.3\",\"sympy\":\"1.14.0\",\"tenacity\":\"9.1.4\",\"threadpoolctl\":\"3.6.0\",\"tokenizers\":\"0.22.2\",\"torch\":\"2.13.0+cu130\",\"tqdm\":\"4.69.0\",\"traitlets\":\"5.15.1\",\"transformers\":\"4.57.6\",\"triton\":\"3.7.1\",\"typing_extensions\":\"4.16.0\",\"urllib3\":\"2.7.0\",\"uv\":\"0.10.12\",\"wcwidth\":\"0.8.2\",\"wheel\":\"0.47.0\",\"widgetsnbextension\":\"4.0.15\",\"zstd\":\"1.5.6.1\"}",
"platform_machine": "aarch64",
"python": "3.12.3",
"torch": "2.13.0+cu130",
"uname": "{\"machine\":\"aarch64\",\"release\":\"6.8.0-1013-nvidia-64k\",\"system\":\"Linux\",\"version\":\"#14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Aug 21 01:03:36 UTC 2\"}"
},
"fingerprint": "8dd66dcd2659bae31ac59c99af243451c086da5a7bf8a64da49cd16b787102fd"
},
"generation_command": [
"python",
"-m",
"tools.goldens",
"--native-root",
"artifacts/reference",
"--output-root",
"tests/goldens",
"--model",
"esmc_small"
],
"input_fingerprint": "182b178e6588beba6a1c681379e3bc8068824eccecc192891173efb89c5068f6",
"model_id": "esmc_small",
"schema_version": 1,
"source_files": {
"native/bf16.safetensors": "72e12b312e802ff56f56e7a210bbaba8e385a7b96101154240ce8a360e691ef9",
"native/fp32.safetensors": "1308fa82ed6058cccec0882ef9d70354c8c616c2619b5bd9b8fdc95027aadf4b",
"native/metadata.json": "8800426bcb980673de2434178cc5dfa66dc2e00968addd0b09931d3a72817e61"
},
"sources": [
{
"id": "biohub-esm",
"revision": "82ee35553d39169d678f784c8d3f8712ffd7d2c4",
"url": "https://github.com/Biohub/esm.git"
},
{
"id": "biohub-transformers",
"revision": "3a8956fb4d4ea16b0ec8e71deef2c2909b6a5cbf",
"url": "https://github.com/Biohub/transformers.git"
}
],
"tensor_file": {
"path": "esmc_small.safetensors",
"sha256": "98219356e2845cbd10a80715b19c95632956d40567a7a993409c426b56040b06"
},
"tensors": {
"input__attention_mask": {
"dtype": "int64",
"sha256": "a4e9ccfdfcb15d75f04569d8635f6121b56d1316e59da2db60416ce57f78551f",
"shape": [
3,
63
]
},
"input__input_ids": {
"dtype": "int64",
"sha256": "7c017cc9226e1262e354dd8494e871929c0ef516214ad8afa58c97df32885bed",
"shape": [
3,
63
]
},
"input__sequence_id": {
"dtype": "bool",
"sha256": "546670f3d1d77f83906edd5dac50f17e99493f27136e41b2fcae8d6d3d9613ba",
"shape": [
3,
63
]
},
"official_bf16__last_hidden_state": {
"dtype": "bfloat16",
"sha256": "7a21b7f88b158c6dd3bd2fdd4d4c3582f4ac9d735bc9d6e4414b11be1efdbe1d",
"shape": [
3,
63,
960
]
},
"official_bf16__logits": {
"dtype": "bfloat16",
"sha256": "ac58aa265f493e3fe42a4d7af2f7017c794ccb63d3a6006309e8943d15b3377d",
"shape": [
3,
63,
64
]
},
"output__last_hidden_state": {
"dtype": "float32",
"sha256": "bcef57a2b5a7a75f23f9ddfc216e8a6f1780c2585dfcf835818e1c3368897415",
"shape": [
3,
63,
960
]
},
"output__logits": {
"dtype": "float32",
"sha256": "99cb2fee1532f8d4516f52506130a47b7db1c03cb2a84cb6b7c6294e6220f84d",
"shape": [
3,
63,
64
]
},
"residue_mask": {
"dtype": "bool",
"sha256": "73319c84be8834bd1df5ff869f2137ac3aef45c900f775c33824b61bda50eb24",
"shape": [
3,
63
]
}
}
}