open-compass / open-compass/VLMEvalKit
[Help Wanted] Supporting the `chat_inner` API for existing VLMs.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.4k
- Forks
- 768
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 17
Description
Since we have now supported the multi-turn benchmark MMDU, we would like to implement the chat_inner function for existing VLMs in VLMEvalKit add support for multi-turn chatting.
Currently, we have already supported the method for: GPT series, Claude series, QwenVL APIs, qwen_chat, MiniCPM-v2.5, Idefics2_8b, llava-v1.5, deepseek-vl series. We need help from the community to support it for more models.
If you would like to help, you can refer to the development doc: https://github.com/open-compass/VLMEvalKit/blob/main/docs/en/Development.md.
Implementing three chat_inner api can be viewed as a major contribution. However, only implement this function if you are sure the VLM has the capability to handle the multi-turn input.
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 with docs/en/Development.md and inspect the existing chat_inner implementations for the model families listed in the issue. Select a VLM that can handle multi-turn input, implement its support, and validate the result against the MMDU multi-turn benchmark.
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
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100