BigCode
StarCoder2 7B
Larger code model with better completions.
7B parametersstarcoderbigcode-openrail-m16K context4.66GB - 7.61GB VRAM
Check Your Hardware
See which quantizations of StarCoder2 7B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.155 GB | 4.66 GB | 5.16 GB | 85% |
| Q8_0 | 8 | 7.105 GB | 7.61 GB | 8.11 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 7B?
StarCoder2 7B requires 4.66GB VRAM minimum with Q4_K_M quantization. For full precision, you need 7.61GB VRAM.
What is the best quantization for StarCoder2 7B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.