01.AI
Yi Coder 9B
Strong 9B code model with good reasoning.
About This Model
Yi Coder 9B, authored by 01.AI, is a 9 billion parameter text generation model specifically tailored for coding tasks. It excels in generating high-quality code snippets, completing code functions, and offering suggestions for debugging and optimization. With a context length of 4096 tokens, it can handle relatively complex coding scenarios and maintain coherence over longer sequences, making it a valuable tool for developers and software engineers. The model is licensed under Apache-2.0, ensuring it is freely usable for both personal and commercial projects.
In its size class, Yi Coder 9B holds its own, offering a good balance between performance and efficiency. While it may not outperform the largest models in the market, it provides a notable level of accuracy and context understanding that is often sufficient for most coding tasks. The model's quantization options (Q4_K_M, Q8_0) and VRAM range of 5.5–9.2 GB make it accessible for a wide range of hardware setups, from mid-range GPUs to more powerful systems. This flexibility means that developers with varying hardware capabilities can leverage its benefits without significant resource constraints. Ideal users include software developers, coding enthusiasts, and small teams looking to enhance their productivity with a reliable local AI coding assistant.
Check Your Hardware
See which quantizations of Yi Coder 9B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.963 GB | 5.46 GB | 5.96 GB | 85% |
| Q8_0 | 8 | 8.739 GB | 9.24 GB | 9.74 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Yi Coder 9B?
Yi Coder 9B requires 5.46GB VRAM minimum with Q4_K_M quantization. For full precision, you need 9.24GB VRAM.
What is the best quantization for Yi Coder 9B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.