MNLP_M2_document_encoder safetensors download | Hugging Bay

Q: What is this model?

artdev99/MNLP_M2_document_encoder is an embedding model for sentence similarity and retrieval published by artdev99, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: artdev99/MNLP_M2_document_encoder · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 364.4 MB. The recommended download, model.safetensors, is 90.9 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 364.4 MB. The original release is at https://huggingface.co/artdev99/MNLP_M2_document_encoder.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-artdev99-mnlp-m2-document-encoder/safety on Hugging Bay.

Q: Will artdev99/MNLP_M2_document_encoder run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

artdev99

MNLP_M2_document_encoder

artdev99/MNLP_M2_document_encoder

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors · BIN · H5

Content controls: not assessed.

Model from Hugging Face for sentence similarity: artdev99/MNLP_M2_document_encoder · sentence transformers

View as JSON →

8 hosted of 17 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	90.9 MB	`53aa5117…b128d9db` `53aa51172d142c89d9012cce15ae4d6cc0ca6895895114379cacb4fab128d9db`	Hosted	Download
`pytorch_model.bin`	90.9 MB	`c3a85f23…33baf256` `c3a85f238711653950f6a79ece63eb0ea93d76f6a6284be04019c53733baf256`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	196 bytes	—	Upstream only	File metadata
`config.json`	636 bytes	`ef452925…8b3043f4` `ef452925dcbfc9fe7f919188fd2a664439a7d37653c544bcbfd955db8b3043f4`	Hosted	Download
`config_sentence_transformers.json`	122 bytes	`c4ec5e39…9f311c58` `c4ec5e39f2ddbf2db13f7404aa2d91ed59b4fc3770c2150aa0f26c139f311c58`	Hosted	Download
`data_config.json`	40.7 KB	—	Upstream only	File metadata
`modules.json`	368 bytes	`e7989e94…da2acd53` `e7989e94b5b809d895a9521b708312c1ccd333e183effebaf3838908da2acd53`	Hosted	Download
`rust_model.ot`	90.9 MB	`2d98d96d…53007aea` `2d98d96d278348988f2744e6445b8bc16d921c3f6e17c667362f3cb353007aea`	Upstream only	File metadata
`sentence_bert_config.json`	56 bytes	`01d1055f…dda4ea51` `01d1055f90dbf0425135dbb95d2ef43f77c49802faec5a20fea87637dda4ea51`	Hosted	Download
`tf_model.h5`	91 MB	`24c06a74…bc597646` `24c06a7429b843d46e40c6b167122053921bf94dce2e5550ea5c07fabc597646`	Upstream only	File metadata
`tokenizer.json`	466.2 KB	`be50c362…11572037` `be50c3628f2bf5bb5e3a7f17b1f74611b2561a3a27eeab05e5aa30f411572037`	Hosted	Download
`tokenizer_config.json`	350 bytes	`acb92769…6c61576b` `acb92769e8195aabd29b7b2137a9e6d6e25c476a4f15aa4355c233426c61576b`	Hosted	Download
`train_script.py`	13.5 KB	—	Upstream only	File metadata
`vocab.txt`	262 KB	—	Upstream only	File metadata
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Download
Docs
`.gitattributes`	1.26 KB	—	Upstream only	File metadata
`README.md`	10.7 KB	—	Upstream only	File metadata

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MNLP_M2_document_encoder

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