MicrosoftStarCoder 2 15B on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB runs StarCoder 2 15B at Q3_K_M — 16 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
15.5B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for StarCoder 2 15B on NVIDIA GeForce RTX 4060 8GB at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 16 tok/s | 400ms | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
15.73B coding model. Q3_K_M at limit. Marginal.
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 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: 15.73B model. Q3_K_M ~8GB fits barely. Reference hardware source: github.com (2026-03-15)
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.