[Model]: `Qwen/Qwen3-Embedding-0.6B-GGUF`
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- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 248
- Avg merge
- 4d 8h
- Merged PRs (30d)
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Description
Which model would you like to support?
Hi,
Would it be possible to add support for the model?
Link to the model: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B-GGUF
Thank you!
What are the main advantages of this model?
The embedding model has achieved state-of-the-art performance across a wide range of downstream application evaluations. The 8B size embedding model ranks No.1 in the MTEB multilingual leaderboard (as of May 26, 2025, score 70.58), while the reranking model excels in various text retrieval scenarios.
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 by reviewing the requested Qwen/Qwen3-Embedding-0.6B-GGUF model at the linked Hugging Face page and the fastembed repository's existing model-support approach. Done means adding support for this embedding model, with its behavior and integration details confirmed against the project's expectations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100