Yi Coder 9B
01.AI's coding specialization at 9B. Apache 2.0; positioned as a lighter alternative to Qwen 2.5 Coder for the 16GB tier.
Overview
01.AI's coding specialization at 9B. Apache 2.0; positioned as a lighter alternative to Qwen 2.5 Coder for the 16GB tier.
Strengths
- 9B fits 8GB consumer cards
- Apache 2.0
Weaknesses
- Trails Qwen 2.5 Coder 14B / 32B on benchmarks
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 5.4 GB | 8 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Yi Coder 9B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Yi Coder 9B?
Can I use Yi Coder 9B commercially?
What's the context length of Yi Coder 9B?
Source: huggingface.co/01-ai/Yi-Coder-9B
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Yi Coder 9B runs on your specific hardware before committing money.