BAAI/bge-small-zh
feature-extraction model by BAAI
From the publisher
Model card & documentation
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Recommend switching to newest BAAI/bge-small-zh-v1.5, which has more reasonable similarity distribution and same method of usage. FlagEmbedding More details please refer to our Github: FlagEmbedding. English | 中文 FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. And it also can be used in vector databases for LLMs. 🌟Updates🌟 More bge is short for BAAI general embedding. For examples, use bge embedding model to retrieve top 100 relevant documents, and then use bge reranker to re-rank the top 100 document to get the final top-3 results. All models have been uploaded to Huggingface Hub, and you can see them at https://huggingface.co/BAAI. If you cannot open the Huggingface Hub, you also can download the models at https://model.baai.ac.cn/models . Following this example to prepare data and fine-tune your model. Some suggestions: Suggest to use bge v1.5, which alleviates…
Read the full model card ↗ · Preview checked 2026-10-08T06:49:16.024Z
Inside the original model card — Document outline
- Model List
- Frequently asked questions
- Usage
- Usage for Embedding Model
- Using FlagEmbedding
- Using Sentence-Transformers
- Using Langchain
- Using HuggingFace Transformers
- Usage for Reranker
- Using FlagEmbedding
- Using Huggingface transformers
- Evaluation
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
BAAI/bge-small-zh is a feature-extraction model repository published by BAAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 101,794
- Cumulative likes
- 29
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- BertModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2023-08-05T08:03:22.000Z
- Last modified
- 2023-10-12T03:37:29.000Z
Compatibility and lineage
Reported languages: zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-08T06:42:12.906Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.