# BAAI/bge-small-zh-v1.5

This model is a Chinese embedding model that maps text to dense vectors with v1.5 retrieval behavior. Those vectors are used for retrieval, classification, clustering, or semantic search, and documents do not need the instruction.

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-baai-bge-small-zh-v1-5
- Citation: BAAI/bge-small-zh-v1.5. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-baai-bge-small-zh-v1-5 (retrieved 2026-11-14).
- Check a downloaded file: run `shasum -a 256 <file>` (macOS), `sha256sum <file>` (Linux) or `Get-FileHash -Algorithm SHA256 <file>` (Windows), then compare with that file's SHA-256 at https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/files?limit=100. How checks work: https://huggingbay.xyz/verification

## Facts

- Type: Embedding
- Task: feature-extraction
- Framework: transformers
- License: mit: Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/BAAI/bge-small-zh-v1.5
- Hosting: hosted (10 files)
- Files: 10 hosted of 13 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 10 hosted of 13 listed
- Full repo upstream: 192.3 MB
- Recommended file: 95.8 MB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/download-plan)
- Per-file SHA-256: available for 10 of 10 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/files?limit=100
- Availability: Ready
- Downloadable: yes
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 4686160
- Stars: 172
- Card completeness: 88%

## Description

This model is a Chinese embedding model that maps text to dense vectors with v1.5 retrieval behavior. Those vectors are used for retrieval, classification, clustering, or semantic search, and documents do not need the instruction.

## Model Card Facts

- Declared license: mit
- Pipeline: feature-extraction
- Library: transformers
- Task categories: feature-extraction
- Languages: zh
- Paper ids: 2310.07554, 2309.07597
- File hints: 13 upstream file samples

## Referenced Data

- Paper: 2310.07554
- Paper: 2309.07597

## File Hints

- .gitattributes
- 1_Pooling/config.json
- README.md
- config.json
- config_sentence_transformers.json
- model.safetensors
- modules.json
- pytorch_model.bin
- sentence_bert_config.json
- special_tokens_map.json
- tokenizer.json
- tokenizer_config.json

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- Mirrored 11 selected Hugging Face files by configured-admin; 0 medium-risk weight files used explicit admin review; hashes computed from downloaded bytes and manifest signed.
- External catalog metadata imported from Hugging Face public API on 2026-07-08T05:58:48.059Z.
- Open license detected as mit.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/distribution
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-baai-bge-small-zh-v1-5/download-plan
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