open-compass / VLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Why this job: matched by what the repo talks about: benchmark, evaluation, model, open
What it does
A new feature in PR 1229 that improves support for models with thinking mode. VLMEvalKit now allows for the use of a custom split_thinking function. We strongly recommend this for models with thinking mode to ensure the accuracy of evaluation. To use this new functionality, please enable the Environment Variable: SPLIT_THINK=True. By default, the function will parse content within ... tags and store it in the thinking key of the output. For more advanced customization, you can also create a split_think function for model. Please see the InternVL implementation for an example.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 4,479
- +11 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2
- Released 19 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 63% closed
- 227 still open
- Pull requests
- 940 merged
- 121 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Jupyter Notebook <1%
- Shell <1%
Topics
- gpt-4v
- large-language-models
- llava
- multi-modal
- openai
- vqa
- llm
- openai-api
- qwen
- gpt
- computer-vision
- pytorch
Project record
- JobEvals and observability
- StatusListed
- Commits1,889
- Forks797
- Watching14
- Stars in 28 days+44
- CreatedDec 1, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026