Eval request https://huggingface.co/rfcoder0/qwen3-4b-custom-Sile
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- Dominant language
- Python
- Stars
- 39.5k
- Forks
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Description
I’d like to request evaluation of a new Hugging Face model:
👉 https://huggingface.co/rfcoder0/qwen3-4b-custom-Sile
• Model size: 4B parameters
• Training hardware: RTX 3060 + RTX 3070 (consumer GPUs)
• Performance: Rivals Qwen-3 8B
• Intended use: General-purpose chat / instruct
This is a custom 4B model designed to show that high performance is possible with modest hardware. Would be great to see it included in your evaluation sweeps/leaderboards for comparison.
Thank you!
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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 locating FastChat’s evaluation sweep and leaderboard entry points, then review how Hugging Face models are registered for comparison runs. Done means the requested rfcoder0/qwen3-4b-custom-Sile model is evaluated through the relevant workflow and its results are included in the appropriate comparison output.
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
- Mostly clear
- Newbie friendliness
- 30/100