Bigcode Starcoder2 3B speed on RTX 4060 Ti 16GB and quantization-level VRAM fit.
RTX 4060 Ti 16GB meets the minimum VRAM requirement for Q4 inference of Bigcode Starcoder2 3B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 16GB can run Bigcode Starcoder2 3B with Q4 quantization. At approximately 51 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 16GB | 50.52 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 16GB | 35.37 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 16GB | 19.20 tok/s | ✅ Fits comfortably |
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RTX 4060 Ti 16GB can run Bigcode Starcoder2 3B at Q4 with an estimated 51 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4060 Ti 16GB has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.