QwenQwen 2.5 Coder 7B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB
Yes — RTX 4060 Ti 16GB runs Qwen 2.5 Coder 7B Instruct excellently at Q5_K_M — 52 tok/s. 16 GB VRAM with plenty of headroom.
Model Size
7.62B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 7B Instruct 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 | 52 tok/s | 125ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
Fast coding performance on 16GB. Q5 quality with headroom.
About Qwen 2.5 Coder 7B Instruct
Qwen 2.5 Coder 7B Instruct (7.62B) is a coding, ai coding model. Specialized coding model optimized for AI-assisted development.
View all Qwen 2.5 Coder 7B Instruct 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 and estimated performance. Reference hardware source: github.com (2026-03-01)
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.