MNLP_M3_document_encoder safetensors download | Hugging Bay

Q: What is this model?

julpiro/MNLP_M3_document_encoder is an embedding model for sentence similarity and retrieval published by julpiro, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: julpiro/MNLP_M3_document_encoder · sentence transformers

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 7 files, 438.7 MB. Full repo upstream: 2.19 GB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: 7 files, 438.7 MB. Full repo upstream: 2.19 GB. The original release is at https://huggingface.co/julpiro/MNLP_M3_document_encoder.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-julpiro-mnlp-m3-document-encoder/safety on Hugging Bay.

Q: Will julpiro/MNLP_M3_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.

julpiro

MNLP_M3_document_encoder

julpiro/MNLP_M3_document_encoder

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: julpiro/MNLP_M3_document_encoder · sentence transformers

View as JSON →

7 hosted of 24 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	438 MB	`d0d559c4…e6a8f693` `d0d559c47d5f71b1d280b13b62a2657f3e3bc70c0786f9ab91a36545e6a8f693`	Hosted	Herunterladen
`onnx/model.onnx`	435.8 MB	`157f97ef…1ac0e96b` `157f97ef1957d34f52efa26f8031371bf9043acc45460cec7ebe94631ac0e96b`	Upstream only	File metadata
`onnx/model_O4.onnx`	217.8 MB	`af23dd83…7efa1e74` `af23dd830162f92b07928dda24ef9d023fd1792ff5535a47e111b4557efa1e74`	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	110.1 MB	`f2ff55f6…29b2005e` `f2ff55f62dfca9ce0f4a5656ae0b1571b9fbc5e15eda3b2c56dd32f329b2005e`	Upstream only	File metadata
`openvino/openvino_model.bin`	435.6 MB	`813bf629…8cf4b880` `813bf62987ce7bf6e9a94d1ff42455376a036ff26463088ca95033d38cf4b880`	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	110 MB	`2d6045bf…2cd86ab6` `2d6045bf41cddc50b04c8cb7a47c2142c7f5689bcc9e49c3f00dbc772cd86ab6`	Upstream only	File metadata
`pytorch_model.bin`	438 MB	`5b119cd3…e478c273` `5b119cd34c663c26fcd8bbe82e9873e9a16c6588b9817a4243947a6de478c273`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	200 bytes	—	Upstream only	File metadata
`config.json`	650 bytes	`01cc39aa…702f5f78` `01cc39aa39538a8179aa131c8a16adc03b506c92009f091502e4eb0c702f5f78`	Hosted	Herunterladen
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Herunterladen
`onnx/config.json`	632 bytes	—	Upstream only	File metadata
`onnx/special_tokens_map.json`	125 bytes	—	Upstream only	File metadata
`onnx/tokenizer.json`	711.4 KB	—	Upstream only	File metadata
`onnx/tokenizer_config.json`	314 bytes	—	Upstream only	File metadata
`onnx/vocab.txt`	231.5 KB	—	Upstream only	File metadata
`openvino/openvino_model.xml`	363.1 KB	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	663.8 KB	—	Upstream only	File metadata
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Herunterladen
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	Herunterladen
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	Herunterladen
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.48 KB	—	Upstream only	File metadata
`README.md`	67.6 KB	—	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

MNLP_M3_document_encoder

Einen Download prüfen

Cookies