Stability AI
Stable Code 3B
Compact code model with good completion quality.
About This Model
Stable Code 3B by Stability AI is a 3 billion parameter model designed for code generation tasks, leveraging the stablelm architecture. This model stands out with its impressive context length of 16,384 tokens, which allows it to handle complex and lengthy programming tasks, making it particularly useful for generating, completing, and debugging code. It is well-suited for developers and software engineers who need a powerful tool to assist with coding projects, especially those involving large codebases or intricate logic.
In its size class, Stable Code 3B holds its own, offering a balance between performance and efficiency. While it may not have the highest parameter count compared to some larger models, it punches above its weight in terms of code quality and context handling. The model is available in quantized versions (Q4_K_M, Q8_0), which significantly reduce the VRAM requirements to 2.1–3.3 GB, making it accessible on a wide range of hardware, including mid-range GPUs. This makes it an excellent choice for users who want high-quality code generation without the need for top-tier hardware. Developers with moderate GPU capabilities can confidently deploy this model for local use, ensuring a smooth and efficient coding experience.
Check Your Hardware
See which quantizations of Stable Code 3B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.591 GB | 2.09 GB | 2.59 GB | 85% |
| Q8_0 | 8 | 2.769 GB | 3.27 GB | 3.77 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 Stable Code 3B?
Stable Code 3B requires 2.09GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.27GB VRAM.
What is the best quantization for Stable Code 3B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.