MoD-Embedding safetensors download | Hugging Bay

Q: What is this model?

bflhc/MoD-Embedding is an embedding model for sentence similarity and retrieval published by bflhc, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: bflhc/MoD-Embedding · 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 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB.

Q: What can I download here?

Hosted here: at least 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB. The original release is at https://huggingface.co/bflhc/MoD-Embedding.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-bflhc-mod-embedding/safety on Hugging Bay.

Q: Will bflhc/MoD-Embedding 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.

bflhc

MoD-Embedding

bflhc/MoD-Embedding

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 15 of 16 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

View as JSON →

15 hosted of 16 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model-00001-of-00002.safetensors`	4.97 GB	`dc1b8423…e96661cd` `dc1b84237653ba7210ee1f09702ff3b95879f10cd9cb618a6ec53e92e96661cd`	Hosted	डाउनलोड करें
`model-00002-of-00002.safetensors`	3.08 GB	`3321179c…875ab9bb` `3321179cbcb5abd62f8dddf7e69d7ebad4cf4f4a0bfcf01113eb0083875ab9bb`	Hosted	डाउनलोड करें
Tokenizer & config
`1_Pooling/config.json`	314 bytes	`c5661a16…5171e970` `c5661a16d31f50ab2bfa8b111c548d5dac59669bf6a1368190482cf65171e970`	Hosted	डाउनलोड करें
`config.json`	1.53 KB	`f2aa2a94…5e481724` `f2aa2a94872bfc292850e42fff33221655da32e9913bb420d0a193145e481724`	Hosted	डाउनलोड करें
`config_sentence_transformers.json`	216 bytes	`ed6d9b6c…52bba8b1` `ed6d9b6cef4b09c247757030f0281741ab2671c988e52fcfa311300452bba8b1`	Hosted	डाउनलोड करें
`merges.txt`	1.67 MB	`8831e4f1…08a904d5` `8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5`	Hosted	डाउनलोड करें
`model.safetensors.index.json`	30.5 KB	`c7d0c1fe…15621b1c` `c7d0c1febf35ade36e0692414f09a6455c8df14361fa1b7528ae571515621b1c`	Hosted	डाउनलोड करें
`modules.json`	350 bytes	`21ddb303…b30d88ac` `21ddb3037a55ebf4549eb5c1dc44c3f28f10b56ec7f1335c92fd90e5b30d88ac`	Hosted	डाउनलोड करें
`special_tokens_map.json`	613 bytes	`76862e76…dd3a1ecd` `76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd`	Hosted	डाउनलोड करें
`tokenizer.json`	11.4 MB	`83cdf8c3…bb7feb8d` `83cdf8c3a34f68862319cb1810ee7b1e2c0a44e0864ae930194ddb76bb7feb8d`	Hosted	डाउनलोड करें
`tokenizer_config.json`	4.69 KB	`0a04a9d7…b8f57614` `0a04a9d7d4a62b28482bdfe726c122756de85714fb64166ace92ae75b8f57614`	Hosted	डाउनलोड करें
`vocab.json`	2.78 MB	`ca10d7e9…b1440910` `ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910`	Hosted	डाउनलोड करें
`added_tokens.json`	605 bytes	`58b54bbe…1968060b` `58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b`	Hosted	डाउनलोड करें
`chat_template.jinja`	2.43 KB	`44d5f08f…a5437fa5` `44d5f08f3f72b837eaad09f13a54c1f9f4eb58d75240334548b7fd52a5437fa5`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	3.69 KB	`40a9d3dc…699d172e` `40a9d3dc42d3bf4db8b5ae5f33efa12702e423db52e167af959028f0699d172e`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved config.json, run:

macOS

shasum -a 256 -- 'config.json'

Linux

sha256sum -- 'config.json'

Windows

Get-FileHash -LiteralPath 'config.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

मिलते-जुलते होस्ट किए गए मॉडल

होस्ट किए गए मॉडल देखें

MoD-Embedding

डाउनलोड की जाँच करें

मिलते-जुलते होस्ट किए गए मॉडल

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