Datasets:

sgetttt
/

esmfold2-assets

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internal-asset-cache
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xet
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
metadata: struct<total_parameters: int64, total_size: int64>
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esmc.transformer.blocks.77.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.77.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.77.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.77.attn.out_proj._extra_state: string, esmc.transformer.blocks.77.attn.out_proj.weight: string, esmc.transformer.blocks.77.attn.q_ln.weight: string, esmc.transformer.blocks.77.ffn._extra_state: string, esmc.transformer.blocks.77.ffn.fc1_weight: string, esmc.transformer.blocks.77.ffn.fc2_weight: string, esmc.transformer.blocks.77.ffn.layer_norm_bias: string, esmc.transformer.blocks.77.ffn.layer_norm_weight: string, esmc.transformer.blocks.78.attn.k_ln.weight: string, esmc.transformer.blocks.78.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.78.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.78.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.78.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.78.attn.out_proj._extra_state: string, esmc.transformer.blocks.78.attn.out_proj.weight: string, esmc.transformer.blocks.78.attn.q_ln.weight: string, esmc.transformer.blocks.78.ffn._extra_state: string, esmc.transformer.blocks.78.ffn.fc1_weight: string, esmc.transformer.blocks.78.ffn.fc2_weight: string, esmc.transformer.blocks.78.ffn.layer_norm_bias: string, esmc.transformer.blocks.78.ffn.layer_norm_weight: string, esmc.transformer.blocks.79.attn.k_ln.weight: string, esmc.transformer.blocks.79.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.79.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.79.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.79.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.79.attn.out_proj._extra_state: string, esmc.transformer.blocks.79.attn.out_proj.weight: string, esmc.transformer.blocks.79.attn.q_ln.weight: string, esmc.transformer.blocks.79.ffn._extra_state: string, esmc.transformer.blocks.79.ffn.fc1_weight: string, esmc.transformer.blocks.79.ffn.fc2_weight: string, esmc.transformer.blocks.79.ffn.layer_norm_bias: string, esmc.transformer.blocks.79.ffn.layer_norm_weight: string, esmc.transformer.blocks.8.attn.k_ln.weight: string, esmc.transformer.blocks.8.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.8.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.8.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.8.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.8.attn.out_proj._extra_state: string, esmc.transformer.blocks.8.attn.out_proj.weight: string, esmc.transformer.blocks.8.attn.q_ln.weight: string, esmc.transformer.blocks.8.ffn._extra_state: string, esmc.transformer.blocks.8.ffn.fc1_weight: string, esmc.transformer.blocks.8.ffn.fc2_weight: string, esmc.transformer.blocks.8.ffn.layer_norm_bias: string, esmc.transformer.blocks.8.ffn.layer_norm_weight: string, esmc.transformer.blocks.9.attn.k_ln.weight: string, esmc.transformer.blocks.9.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.9.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.9.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.9.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.9.attn.out_proj._extra_state: string, esmc.transformer.blocks.9.attn.out_proj.weight: string, esmc.transformer.blocks.9.attn.q_ln.weight: string, esmc.transformer.blocks.9.ffn._extra_state: string, esmc.transformer.blocks.9.ffn.fc1_weight: string, esmc.transformer.blocks.9.ffn.fc2_weight: string, esmc.transformer.blocks.9.ffn.layer_norm_bias: string, esmc.transformer.blocks.9.ffn.layer_norm_weight: string, esmc.transformer.norm.weight: string, lm_head.0.bias: string, lm_head.0.weight: string, lm_head.2.bias: string, lm_head.2.weight: string, lm_head.3.bias: string, lm_head.3.weight: string>
vs
additional_special_tokens: list<item: string>
cls_token: string
eos_token: string
mask_token: string
pad_token: string
unk_token: string
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6321, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              metadata: struct<total_parameters: int64, total_size: int64>
              weight_map: struct<esmc.embed.weight: string, esmc.transformer.blocks.0.attn.k_ln.weight: string, esmc.transformer.blocks.0.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.0.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.0.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.0.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.0.attn.out_proj._extra_state: string, esmc.transformer.blocks.0.attn.out_proj.weight: string, esmc.transformer.blocks.0.attn.q_ln.weight: string, esmc.transformer.blocks.0.ffn._extra_state: string, esmc.transformer.blocks.0.ffn.fc1_weight: string, esmc.transformer.blocks.0.ffn.fc2_weight: string, esmc.transformer.blocks.0.ffn.layer_norm_bias: string, esmc.transformer.blocks.0.ffn.layer_norm_weight: string, esmc.transformer.blocks.1.attn.k_ln.weight: string, esmc.transformer.blocks.1.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.1.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.1.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.1.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.1.attn.out_proj._extra_state: string, esmc.transformer.blocks.1.attn.out_proj.weight: string, esmc.transformer.blocks.1.attn.q_ln.weight: string, esmc.transformer.blocks.1.ffn._extra_state: string, esmc.transformer.blocks.1.ffn.fc1_weight: string, esmc.transformer.blocks.1.ffn.fc2_weight: string, esmc.transformer.blocks.1.ffn.layer_norm_bias: string, esmc.transformer.blocks.1.ffn.layer_norm_weight: string, esmc.transformer.blocks.10.attn.k_ln.weight: string, esmc.transformer.blocks.10.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.10.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.10.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.10.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.10.attn.out_proj._extra_state: string, 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esmc.transformer.blocks.11.ffn.fc2_weight: string, esmc.transformer.blocks.11.ffn.layer_norm_bias: string, esmc.transformer.blocks.11.ffn.layer_norm_weight: string, esmc.transformer.blocks.12.attn.k_ln.weight: string, esmc.transformer.blocks.12.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.12.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.12.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.12.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.12.attn.out_proj._extra_state: string, esmc.transformer.blocks.12.attn.out_proj.weight: string, esmc.transformer.blocks.12.attn.q_ln.weight: string, esmc.transformer.blocks.12.ffn._extra_state: string, esmc.transformer.blocks.12.ffn.fc1_weight: string, esmc.transformer.blocks.12.ffn.fc2_weight: string, esmc.transformer.blocks.12.ffn.layer_norm_bias: string, esmc.transformer.blocks.12.ffn.layer_norm_weight: string, esmc.transformer.blocks.13.attn.k_ln.weight: string, esmc.transformer.blocks.13.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.13.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.13.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.13.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.13.attn.out_proj._extra_state: string, esmc.transformer.blocks.13.attn.out_proj.weight: string, esmc.transformer.blocks.13.attn.q_ln.weight: string, esmc.transformer.blocks.13.ffn._extra_state: string, esmc.transformer.blocks.13.ffn.fc1_weight: string, esmc.transformer.blocks.13.ffn.fc2_weight: string, esmc.transformer.blocks.13.ffn.layer_norm_bias: string, esmc.transformer.blocks.13.ffn.layer_norm_weight: string, esmc.transformer.blocks.14.attn.k_ln.weight: string, esmc.transformer.blocks.14.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.14.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.14.attn.layernorm_qkv.layer_norm_weight: string, 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esmc.transformer.blocks.7.attn.out_proj.weight: string, esmc.transformer.blocks.7.attn.q_ln.weight: string, esmc.transformer.blocks.7.ffn._extra_state: string, esmc.transformer.blocks.7.ffn.fc1_weight: string, esmc.transformer.blocks.7.ffn.fc2_weight: string, esmc.transformer.blocks.7.ffn.layer_norm_bias: string, esmc.transformer.blocks.7.ffn.layer_norm_weight: string, esmc.transformer.blocks.70.attn.k_ln.weight: string, esmc.transformer.blocks.70.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.70.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.70.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.70.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.70.attn.out_proj._extra_state: string, esmc.transformer.blocks.70.attn.out_proj.weight: string, esmc.transformer.blocks.70.attn.q_ln.weight: string, esmc.transformer.blocks.70.ffn._extra_state: string, esmc.transformer.blocks.70.ffn.fc1_weight: string, 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esmc.transformer.blocks.72.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.72.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.72.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.72.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.72.attn.out_proj._extra_state: string, esmc.transformer.blocks.72.attn.out_proj.weight: string, esmc.transformer.blocks.72.attn.q_ln.weight: string, esmc.transformer.blocks.72.ffn._extra_state: string, esmc.transformer.blocks.72.ffn.fc1_weight: string, esmc.transformer.blocks.72.ffn.fc2_weight: string, esmc.transformer.blocks.72.ffn.layer_norm_bias: string, esmc.transformer.blocks.72.ffn.layer_norm_weight: string, esmc.transformer.blocks.73.attn.k_ln.weight: string, esmc.transformer.blocks.73.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.73.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.73.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.73.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.73.attn.out_proj._extra_state: string, esmc.transformer.blocks.73.attn.out_proj.weight: string, esmc.transformer.blocks.73.attn.q_ln.weight: string, esmc.transformer.blocks.73.ffn._extra_state: string, esmc.transformer.blocks.73.ffn.fc1_weight: string, esmc.transformer.blocks.73.ffn.fc2_weight: string, esmc.transformer.blocks.73.ffn.layer_norm_bias: string, esmc.transformer.blocks.73.ffn.layer_norm_weight: string, esmc.transformer.blocks.74.attn.k_ln.weight: string, esmc.transformer.blocks.74.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.74.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.74.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.74.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.74.attn.out_proj._extra_state: string, esmc.transformer.blocks.74.attn.out_proj.weight: string, esmc.transformer.blocks.74.attn.q_ln.weight: 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esmc.transformer.blocks.77.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.77.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.77.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.77.attn.out_proj._extra_state: string, esmc.transformer.blocks.77.attn.out_proj.weight: string, esmc.transformer.blocks.77.attn.q_ln.weight: string, esmc.transformer.blocks.77.ffn._extra_state: string, esmc.transformer.blocks.77.ffn.fc1_weight: string, esmc.transformer.blocks.77.ffn.fc2_weight: string, esmc.transformer.blocks.77.ffn.layer_norm_bias: string, esmc.transformer.blocks.77.ffn.layer_norm_weight: string, esmc.transformer.blocks.78.attn.k_ln.weight: string, esmc.transformer.blocks.78.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.78.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.78.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.78.attn.layernorm_qkv.weight: string, 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esmc.transformer.blocks.79.ffn.fc1_weight: string, esmc.transformer.blocks.79.ffn.fc2_weight: string, esmc.transformer.blocks.79.ffn.layer_norm_bias: string, esmc.transformer.blocks.79.ffn.layer_norm_weight: string, esmc.transformer.blocks.8.attn.k_ln.weight: string, esmc.transformer.blocks.8.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.8.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.8.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.8.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.8.attn.out_proj._extra_state: string, esmc.transformer.blocks.8.attn.out_proj.weight: string, esmc.transformer.blocks.8.attn.q_ln.weight: string, esmc.transformer.blocks.8.ffn._extra_state: string, esmc.transformer.blocks.8.ffn.fc1_weight: string, esmc.transformer.blocks.8.ffn.fc2_weight: string, esmc.transformer.blocks.8.ffn.layer_norm_bias: string, esmc.transformer.blocks.8.ffn.layer_norm_weight: string, esmc.transformer.blocks.9.attn.k_ln.weight: string, esmc.transformer.blocks.9.attn.layernorm_qkv._extra_state: string, esmc.transformer.blocks.9.attn.layernorm_qkv.layer_norm_bias: string, esmc.transformer.blocks.9.attn.layernorm_qkv.layer_norm_weight: string, esmc.transformer.blocks.9.attn.layernorm_qkv.weight: string, esmc.transformer.blocks.9.attn.out_proj._extra_state: string, esmc.transformer.blocks.9.attn.out_proj.weight: string, esmc.transformer.blocks.9.attn.q_ln.weight: string, esmc.transformer.blocks.9.ffn._extra_state: string, esmc.transformer.blocks.9.ffn.fc1_weight: string, esmc.transformer.blocks.9.ffn.fc2_weight: string, esmc.transformer.blocks.9.ffn.layer_norm_bias: string, esmc.transformer.blocks.9.ffn.layer_norm_weight: string, esmc.transformer.norm.weight: string, lm_head.0.bias: string, lm_head.0.weight: string, lm_head.2.bias: string, lm_head.2.weight: string, lm_head.3.bias: string, lm_head.3.weight: string>
              vs
              additional_special_tokens: list<item: string>
              cls_token: string
              eos_token: string
              mask_token: string
              pad_token: string
              unk_token: string
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
path string	repo string	kind string	size_bytes int64	sha256 string	urls list	used_by list	discovered_in string	mirror_url string	license string	license_note string
downloads/esmfold2-structure-prediction-26b0bc2b771e3e419ea74f445a5f35cc094a1509.tar.gz	esmfold2	source-archive	null	346dbd28e6a78473432c886993be8d8d1d3f095f44baf31c165d273807862bc1	[ "https://codeload.github.com/Biohub/esm/tar.gz/26b0bc2b771e3e419ea74f445a5f35cc094a1509", "https://gh-proxy.com/https://codeload.github.com/Biohub/esm/tar.gz/26b0bc2b771e3e419ea74f445a5f35cc094a1509" ]	[ "esmfold2" ]	mcp/runner/setup_runtime.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/downloads/esmfold2-structure-prediction-26b0bc2b771e3e419ea74f445a5f35cc094a1509.tar.gz	MIT	Biohub esm fork (upstream facebookresearch/esm, MIT)
esmc6b/config.json	esmfold2	weights	341	c5566fab6a17fd674141331fe75de917b7904d99fb7a410d2b1593c21e576913	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/config.json", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/config.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/config.json	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00001-of-00006.safetensors	esmfold2	weights	4,864,457,920	bd90149ff223e6ac1a0cac6147a5ae0df20d3a21df4f65356a1f19cd14f4aa8a	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00001-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00001-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00001-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00002-of-00006.safetensors	esmfold2	weights	4,971,211,344	f75e2144d8269fe2eb4b3e0823fb089b94f176d8024153e85b8fb573a42294fa	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00002-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00002-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00002-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00003-of-00006.safetensors	esmfold2	weights	4,863,752,992	f699f01ecc9691d9c6470492765fe54b8b5d2e9f277c139e89427433ffdfe0b2	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00003-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00003-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00003-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00004-of-00006.safetensors	esmfold2	weights	4,971,211,344	46add1b7be098bbfdc3073884851ba3057f1b33ea23a158b650a37007dabd13d	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00004-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00004-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00004-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00005-of-00006.safetensors	esmfold2	weights	4,863,752,992	1e1cb62f060a34e18f54a31a76683ef888b8cec59e73315f5b31d25d45a1f88c	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00005-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00005-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00005-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model-00006-of-00006.safetensors	esmfold2	weights	873,762,296	56c73e13ae96e777ce65eee99364056069ef93b646470f352f83c5f1037b1b18	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00006-of-00006.safetensors", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model-00006-of-00006.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model-00006-of-00006.safetensors	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/model.safetensors.index.json	esmfold2	weights	97,349	6846456e20e6ee2c37461f7bfc21d316d69bdaf165b925691afcb39e583244da	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model.safetensors.index.json", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/model.safetensors.index.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/model.safetensors.index.json	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/special_tokens_map.json	esmfold2	weights	171	0b7245ec86c8c3aeaf61523ba70dfa79be137e6283f127bd651adc30b4f15c74	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/special_tokens_map.json", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/special_tokens_map.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/special_tokens_map.json	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/tokenizer.json	esmfold2	weights	2,879	8d3447b278176e65fb3ef0224472927bf5fee3be46ea2bd77fad0111423cee1f	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/tokenizer.json", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/tokenizer.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/tokenizer.json	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
esmc6b/tokenizer_config.json	esmfold2	weights	1,392	e8d8e40c9f92b334f0272e80bb65ed4043cb9836523cbae899e9859e8cbb8833	[ "https://huggingface.co/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/tokenizer_config.json", "https://hf-mirror.com/biohub/ESMC-6B/resolve/45b0fa5d7fb06faefbd5e3b89bdcef35d564e79a/tokenizer_config.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/esmc6b/tokenizer_config.json	ESMC-Open-NC	EvolutionaryScale ESMC weights (open, non-commercial)
fold2-fast/config.json	esmfold2	weights	2,338	d24456b797ddcfb60ac6c53621b550db5e14b1575ee2d9ab5a380eb5b09902f2	[ "https://huggingface.co/biohub/ESMFold2-Fast/resolve/c6c7958d63f5f2f1f0fed0bb9462316f8ccceea6/config.json", "https://hf-mirror.com/biohub/ESMFold2-Fast/resolve/c6c7958d63f5f2f1f0fed0bb9462316f8ccceea6/config.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/fold2-fast/config.json	CC-BY-NC-4.0	Meta ESMFold weights via third-party mirror (official: CC-BY-NC-4.0)
fold2-fast/model.safetensors	esmfold2	weights	755,416,924	60ca19f2898188beba92944365f7b909efd9c99212f5018af75cc47cd9a6184a	[ "https://huggingface.co/biohub/ESMFold2-Fast/resolve/c6c7958d63f5f2f1f0fed0bb9462316f8ccceea6/model.safetensors", "https://hf-mirror.com/biohub/ESMFold2-Fast/resolve/c6c7958d63f5f2f1f0fed0bb9462316f8ccceea6/model.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/fold2-fast/model.safetensors	CC-BY-NC-4.0	Meta ESMFold weights via third-party mirror (official: CC-BY-NC-4.0)
fold2/ccd.pkl	esmfold2	ccd-data	417,306,584	9ff44b1927c6b9198e38ffe0928706827a09a350c15530beeeabebfa88038fc5	[ "https://huggingface.co/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/ccd.pkl", "https://hf-mirror.com/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/ccd.pkl" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/fold2/ccd.pkl	CC-BY-NC-4.0	Meta ESMFold weights via third-party mirror (official: CC-BY-NC-4.0)
fold2/config.json	esmfold2	weights	2,337	e9ec2496ec433a1dce18627ed4bf3785b4ce0c1d69e4bb4663dad1ab895da012	[ "https://huggingface.co/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/config.json", "https://hf-mirror.com/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/config.json" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/fold2/config.json	CC-BY-NC-4.0	Meta ESMFold weights via third-party mirror (official: CC-BY-NC-4.0)
fold2/model.safetensors	esmfold2	weights	939,505,228	138fd4350d6892b81ce6be7ff9bf5a93ae9d4d3751f46a27438a3f9f0dcefa0e	[ "https://huggingface.co/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/model.safetensors", "https://hf-mirror.com/biohub/ESMFold2/resolve/8fc3ff471022fdce52c77030685eb775de0c00a3/model.safetensors" ]	[ "esmfold2" ]	mcp/runner/download_models_worker.py	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/fold2/model.safetensors	CC-BY-NC-4.0	Meta ESMFold weights via third-party mirror (official: CC-BY-NC-4.0)
wheels/torch-2.7.1+cu128-cp312-cp312-manylinux_2_28_x86_64.whl	esmfold2	wheel	1,039,245,529	0b64f7d0a6f2a739ed052ba959f7b67c677028c9566ce51997f9f90fe573ddaa	[ "https://download.pytorch.org/whl/cu128/torch-2.7.1+cu128-cp312-cp312-manylinux_2_28_x86_64.whl" ]	[ "esmfold2" ]	.levin-plugin/plugin.json (python 3.12); torch==2.7.1+cu128	https://huggingface.co/datasets/LevinHarness/esmfold2-assets/resolve/main/wheels/torch-2.7.1+cu128-cp312-cp312-manylinux_2_28_x86_64.whl	BSD-3-Clause	PyTorch (BSD-3-Clause) cu128 wheel, sha per download.pytorch.org index
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LevinHarness/esmfold2-assets — internal asset cache

This private dataset is an internal staging cache of third-party runtime assets required by the Levin Harness plugin(s) listed below. It is not an official distribution: nothing here is published under this account's own terms, and it is not affiliated with or endorsed by any upstream project.
Ownership and licensing

Every file remains the property of its upstream authors.
Each file keeps its upstream license (see table and MANIFEST.json); terms are respected as-if downloaded from the original source, including any non-commercial restrictions.
Provided "as is", no warranty. For internal/offline reproducibility only.
Rights holders: this is a private cache; contact the account owner or delete the repo if you object to any content.
Licenses present: BSD-3-Clause, CC-BY-NC-4.0, ESMC-Open-NC, MIT.0, ESMC-Open-NC, MIT.
Contents (mirrored verbatim, SHA-256 pinned)

path	size	upstream license
`wheels/torch-2.7.1+cu128-cp312-cp312-manylinux_2_28_x86_64.whl`	1.04 GB	BSD-3-Clause
`downloads/esmfold2-structure-prediction-26b0bc2b771e3e419ea74f445a5f35cc094a1509.tar.gz`	—	MIT
`esmc6b/config.json`	0 kB	ESMC-Open-NC
`esmc6b/model-00001-of-00006.safetensors`	4.86 GB	ESMC-Open-NC
`esmc6b/model-00002-of-00006.safetensors`	4.97 GB	ESMC-Open-NC
`esmc6b/model-00003-of-00006.safetensors`	4.86 GB	ESMC-Open-NC
`esmc6b/model-00004-of-00006.safetensors`	4.97 GB	ESMC-Open-NC
`esmc6b/model-00005-of-00006.safetensors`	4.86 GB	ESMC-Open-NC
`esmc6b/model-00006-of-00006.safetensors`	873.8 MB	ESMC-Open-NC
`esmc6b/model.safetensors.index.json`	97 kB	ESMC-Open-NC
`esmc6b/special_tokens_map.json`	0 kB	ESMC-Open-NC
`esmc6b/tokenizer.json`	3 kB	ESMC-Open-NC
`esmc6b/tokenizer_config.json`	1 kB	ESMC-Open-NC
`fold2-fast/config.json`	2 kB	CC-BY-NC-4.0
`fold2-fast/model.safetensors`	755.4 MB	CC-BY-NC-4.0
`fold2/ccd.pkl`	417.3 MB	CC-BY-NC-4.0
`fold2/config.json`	2 kB	CC-BY-NC-4.0
`fold2/model.safetensors`	939.5 MB	CC-BY-NC-4.0
Provenance

MANIFEST.json records, per file: original URL(s) (with pinned revision), SHA-256, size, upstream license, which plugin(s) use it (used_by) and the plugin source file it was declared in (discovered_in).
Consumers must pin the repo commit in /resolve/<commit>/ URLs and re-verify the per-file SHA-256 before use.
Mirrored for: esmfold2
Files: 18 (28.56 GB known size)
Downloads last month: 60
Total file size:
28.6 GB