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facebook_esm2_t33_650M_UR50D

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The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.


license: mit widget:

  • text: "MQIFVKTLTGKTITLEVEPSTIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG"

ESM-2

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. For detailed information on the model architecture and training data, please refer to the accompanying paper. You may also be interested in some demo notebooks (PyTorch, TensorFlow) which demonstrate how to fine-tune ESM-2 models on your tasks of interest.

Several ESM-2 checkpoints are available in the Hub with varying sizes. Larger sizes generally have somewhat better accuracy, but require much more memory and time to train:

Checkpoint name Num layers Num parameters
esm2_t48_15B_UR50D 48 15B
esm2_t36_3B_UR50D 36 3B
esm2_t33_650M_UR50D 33 650M
esm2_t30_150M_UR50D 30 150M
esm2_t12_35M_UR50D 12 35M
esm2_t6_8M_UR50D 6 8M

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magnet:?xt=urn:btih:40adb8108300c98ac00951339338b0edc944b6c0&dn=facebook_esm2_t33_650M_UR50D

Open magnet in torrent client · infohash 40adb8108300c98ac00951339338b0edc944b6c0

Files & hashes

PathSizesha1sha256
README.md1.7 KB (1,705 B)78b8e54d14b2ccb65a6f3456cc72e603ddd8658d462a2f24724e19c6be0efab926315c294a863c9a9770e2c8b3d859b2d81a07de
config.json724 B (724 B)a956a25d277f30bd870d3760b9a116f19ead885e539095c22efc52a09d6147074ba4ca119f76a890df5901213b2b55f7d2f96b2b
model.safetensors2.43 GB (2,609,506,392 B)126a72647fa2eb5bf0d1f66a5f97ad5f6a866c53a08adabb949fa67ad3c14b509d04fd60368b35007b0095e3358f81200c4f4db0
pytorch_model.bin2.43 GB (2,609,621,831 B)46ff0086af2ee8ba1a101d521804e1f6e88a74f5c874668852c7275a159e2c7ceb6069671d7b1ba2c7b52f59600b34ce0f721008
special_tokens_map.json125 B (125 B)ba0f9b53dbbf27934f7555e5d31e37bdea9317f13aedcd4211c0d43aec4e607ff60a63255f3174ead795e997350f09a5f8cd9ee1
tokenizer_config.json95 B (95 B)3f0d47e841e1cb75257aeaf76d156802899a217e7e9161ecdb548ec45a41cbc6b24aa4476fdd418461f491c4207baa99419a29ad
vocab.txt93 B (93 B)6b946952cc35537226f07fd70957ee2f848880d20b82cc0a7c7cf9e567b1e5892d793285b9fbae822c964ca48696f7db44598e03

Cite this release

Canonical URL
https://aiseedbank.org/models/facebook_esm2_t33_650M_UR50D/
Slug
facebook_esm2_t33_650M_UR50D
Infohash
40adb8108300c98ac00951339338b0edc944b6c0
License
mit
Signing key fingerprint
85a3b32c3712427b

Every file carries a locally computed sha256 — verify a download against the signed sums: facebook_esm2_t33_650M_UR50D.SHA256SUMS (+ minisign signature).

Provenance

Upstream repositoryfacebook/esm2_t33_650M_UR50D
Revision (pinned)08e4846e537177426273712802403f7ba8261b6c
Fetched at2026-09-03T22:34:09Z
License at fetchmit
Snapshot toolhuggingface · seedbank 0.1.0

Trackers

✓ verified · rehash-vs-hf-metadata at 2026-09-03T22:35:06Z

mit4.86 GB (5,219,130,965 bytes)transformerspytorchsafetensorsesmfill-maskendpoints_compatible1 language (tf)