MicrosoftStarCoder 2 15B on NVIDIA GeForce RTX 4060 Ti 16GB
Yes — RTX 4060 Ti 16GB handles StarCoder 2 15B well at Q5_K_M — 25 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
15.5B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for StarCoder 2 15B on NVIDIA GeForce RTX 4060 Ti 16GB at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 25 tok/s | 280ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Q5 at 10.7GB on 16GB. Good FIM support makes it suitable for code completion backends.
About StarCoder 2 15B
StarCoder 2 15B (15.5B) is a coding, ai coding model. Trained on The Stack v2 with 619 programming languages. Full fill-in-the-middle (FIM) support for code completion. BigCode's best model, competitive but surpassed by Qwen 2.5 Coder on most benchmarks.
View all StarCoder 2 15B hardware options →About NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Community benchmarks. Reference hardware source: github.com (2026-01-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.