michaelfeil / michaelfeil/infinity
gme-Qwen2-VL-2B-Instruct
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- Dominant language
- Python
- Stars
- 2.9k
- Forks
- 206
- PR merge metrics
- No merged PRs in 30d
Description
### Model description
https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct
### Open source status & huggingface transformers.
- [x] The model implementation is available on transformers
- [x] The model weights are available on huggingface-hub
- [x] I verified that the model is currently not running in the latest version `pip install infinity_emb[all] --upgrade`
- [ ] I made the authors of the model aware that I want to use it with infinity_emb & check if they are aware of the issue.
Contributor guide
No contributing guide indexed for this repository
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 reproducing the failure with Alibaba-NLP/gme-Qwen2-VL-2B-Instruct using the documented `pip install infinity_emb[all] --upgrade` setup. Inspect the existing Transformers model support and compare its handling of this Hugging Face model. Done means the model runs successfully in infinity and its embedding behavior is covered by the relevant existing checks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100