01.AI
Yi Coder 1.5B
Tiny code model. Great for phones. Fast completions.
About This Model
Yi Coder 1.5B by 01.AI is a 1.5 billion parameter text generation model specifically designed for coding tasks. It excels in generating high-quality code snippets, completing code blocks, and providing useful suggestions for programming challenges. With a context length of 4096 tokens, it can handle relatively long sequences, making it suitable for complex coding tasks that require understanding of broader context. The model is licensed under Apache-2.0, which makes it accessible for both personal and commercial projects.
In its size class, Yi Coder 1.5B holds its own quite well. Despite having fewer parameters than some of the larger models, it demonstrates impressive efficiency and performance, often producing results that are on par with or even better than those from larger models when it comes to code-specific tasks. This efficiency is particularly notable given its relatively low VRAM requirements, ranging from 1.4 to 2.0 GB, which means it can be deployed on a wide range of hardware, including laptops and mid-range desktops. For developers looking to enhance their productivity with a powerful yet lightweight code generation tool, Yi Coder 1.5B is an excellent choice. It is ideal for those who need a reliable model for local deployment without the need for high-end GPUs.
Check Your Hardware
See which quantizations of Yi Coder 1.5B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 0.897 GB | 1.4 GB | 1.9 GB | 85% |
| Q8_0 | 8 | 1.463 GB | 1.96 GB | 2.46 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 1.5B?
Yi Coder 1.5B requires 1.4GB VRAM minimum with Q4_K_M quantization. For full precision, you need 1.96GB VRAM.
What is the best quantization for Yi Coder 1.5B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.