Download tests/goldens/esmc_small.json from Synthyra/FastPLMs-artifacts: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/datasets/Synthyra/FastPLMs-artifacts/resolve/main/tests/goldens/esmc_small.json
- Command line
-
hf download hf://datasets/Synthyra/FastPLMs-artifacts/tests/goldens/esmc_small.json
-
curl -L -o esmc_small.json https://huggingface.co/datasets/Synthyra/FastPLMs-artifacts/resolve/main/tests/goldens/esmc_small.json
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" | |
| ], | |
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| "model_id": "esmc_small", | |
| "schema_version": 1, | |
| "source_files": { | |
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| "native/metadata.json": "8800426bcb980673de2434178cc5dfa66dc2e00968addd0b09931d3a72817e61" | |
| }, | |
| "sources": [ | |
| { | |
| "id": "biohub-esm", | |
| "revision": "82ee35553d39169d678f784c8d3f8712ffd7d2c4", | |
| "url": "https://github.com/Biohub/esm.git" | |
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| "revision": "3a8956fb4d4ea16b0ec8e71deef2c2909b6a5cbf", | |
| "url": "https://github.com/Biohub/transformers.git" | |
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| "input__sequence_id": { | |
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