BigCode
StarCoder2 3B
Code completion model trained on The Stack v2. 600+ languages.
3B parametersstarcoderbigcode-openrail-m16K context2.4GB - 3.8GB VRAM
Check Your Hardware
See which quantizations of StarCoder2 3B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.9 GB | 2.4 GB | 3.5 GB | 85% |
| Q8_0 | 8 | 3.2 GB | 3.8 GB | 5 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
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 StarCoder2 3B?
StarCoder2 3B requires 2.4GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.8GB VRAM.
What is the best quantization for StarCoder2 3B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.