
StarCoder 2 15B on NVIDIA GeForce RTX 4090
Yes — RTX 4090 runs StarCoder 2 15B excellently at Q8_0 — 50 tok/s. 24 GB VRAM with plenty of headroom.
Model Size
15.5B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for StarCoder 2 15B on NVIDIA GeForce RTX 4090 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 50 tok/s | 130ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Full Q8 quality at 16.8GB. Fast code completion.
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 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
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.