[Model]: BAAI/bge-reranker-v2-m3
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 248
- Avg merge
- 4d 8h
- Merged PRs (30d)
- 4
Description
Which model would you like to support?
https://huggingface.co/BAAI/bge-reranker-v2-m3
What are the main advantages of this model?
new (2025)
BAAI/bge-reranker-v2-m3 | bge-m3 | Multilingual | - | Lightweight reranker model, possesses strong multilingual capabilities, easy to deploy, with fast inference. -- | -- | -- | -- | -- [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) [bge-m3](https://huggingface.co/BAAI/bge-m3) Multilingual - Lightweight reranker model, possesses strong multilingual capabilities, easy to deploy, with fast inference.Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked Hugging Face model page for BAAI/bge-reranker-v2-m3 and inspect fastembed's existing model-support entry points. Determine the integration requirements and validation needed for this multilingual reranker; done means the model is supported and its behavior is covered by appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100