bge-code-v1 safetensors download | Hugging Bay

Q: What is this model?

BAAI/bge-code-v1 is an embedding model for sentence similarity and retrieval published by BAAI, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: BAAI/bge-code-v1 · 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 16 listed files; full count and size unknown. Full repo upstream: 6.19 GB.

Q: What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 6.19 GB. The original release is at https://huggingface.co/BAAI/bge-code-v1.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-baai-bge-code-v1/safety on Hugging Bay.

Q: Will BAAI/bge-code-v1 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.

BAAI

bge-code-v1

BAAI/bge-code-v1

Model details

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

16 hosted of 17 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model-00001-of-00002.safetensors`	5 GB	`3f0012a8…cc3faafc` `3f0012a815833b137559c60485e3d087fb029e034b7b5e5c18fa9cabcc3faafc`	Hosted	डाउनलोड करें
`model-00002-of-00002.safetensors`	1.18 GB	`93d0d517…9ac16d71` `93d0d51780cad746744bed246b4c13e520e458ba36509c33aff1ed0c9ac16d71`	Hosted	डाउनलोड करें
Tokenizer & config
`1_Pooling/config.json`	297 bytes	`40d120b9…d640d35b` `40d120b92655c16390bd52c43540ada5f74ab94991d00838df6742c0d640d35b`	Hosted	डाउनलोड करें
`added_tokens.json`	650 bytes	`59122dc4…3c5d4899` `59122dc49ad6df74c3b16a679c55cfd7cdf23760b50a4d14171d66363c5d4899`	Hosted	डाउनलोड करें
`config.json`	711 bytes	`fa661128…d99c1ed9` `fa661128c559d1657bfc2a2467286d1e17b5f9eb36ffa01eac5a6ee6d99c1ed9`	Hosted	डाउनलोड करें
`config_sentence_transformers.json`	205 bytes	`4eb845e9…28ae45ab` `4eb845e9d24d1940a55a4c5cf6fae3221a478fd92929a07c2608840128ae45ab`	Hosted	डाउनलोड करें
`merges.txt`	1.67 MB	`8831e4f1…08a904d5` `8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5`	Hosted	डाउनलोड करें
`model.safetensors.index.json`	25.7 KB	`4042f7a1…bd6c89b1` `4042f7a1ef4bd421dbc6f7197451e3b2d7192f62e12cd9fd3dc51429bd6c89b1`	Hosted	डाउनलोड करें
`sentence_bert_config.json`	55 bytes	`1140b92d…25169a65` `1140b92d307aec9383d897169c9f489f3a568787b80bf760f5d7cc9d25169a65`	Hosted	डाउनलोड करें
`special_tokens_map.json`	365 bytes	`540a4eb9…d645a0eb` `540a4eb9f9b9fb06b7e601c5ef07ee66a647bacf00c659aa0275fb6ad645a0eb`	Hosted	डाउनलोड करें
`tokenization_qwen.py`	10.9 KB	`e732e66a…d78a5456` `e732e66a6c26d581076e85e09bec94ab4b2b4e7bd25eb672fc8d267bd78a5456`	Hosted	डाउनलोड करें
`tokenizer.json`	11.4 MB	`a5652409…019a0af0` `a56524092f5d0676e63537511b535e73e7580a7efe440247ef3fa43d019a0af0`	Hosted	डाउनलोड करें
`tokenizer_config.json`	7.56 KB	`dae4986e…e7f13e89` `dae4986efd0a0783e641f815f6ec139aaf671e225069e28e33af8b9de7f13e89`	Hosted	डाउनलोड करें
`vocab.json`	2.78 MB	`ca10d7e9…b1440910` `ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910`	Hosted	डाउनलोड करें
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.57 KB	`34448b82…e012a930` `34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930`	Upstream only	File metadata
`README.md`	10.6 KB	`486da577…4dc2b6cb` `486da577912bb4157c4c9798207619201c013ca745f2adb53eb9e8574dc2b6cb`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved .gitattributes, run:

macOS

shasum -a 256 -- '.gitattributes'

Linux

sha256sum -- '.gitattributes'

Windows

Get-FileHash -LiteralPath '.gitattributes' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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bge-code-v1

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