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.

License: Apache 2.0·Released Sep 20, 2025·Context: 131,072 tokens

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

huggingface.co/01-ai/Yi-Coder-9B

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Yi Coder 9B.

Compare alternatives

Models worth comparing

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Same tier

Models in the same parameter band as this one

Step up

More capable — bigger memory footprint

Step down

Smaller — faster, runs on weaker hardware

Frequently asked

What's the minimum VRAM to run Yi Coder 9B?

8GB of VRAM is enough to run Yi Coder 9B at the Q4_K_M quantization (file size 5.4 GB). Higher-quality quantizations need more.

Can I use Yi Coder 9B commercially?

Yes — Yi Coder 9B ships under the Apache 2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Yi Coder 9B?

Yi Coder 9B supports a context window of 131,072 tokens (about 131K).

Source: huggingface.co/01-ai/Yi-Coder-9B

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.