QwenQwen 2.5 14B Instruct on NVIDIA GeForce RTX 3080 10GB
RTX 3080 10GB runs Qwen 2.5 14B Instruct at Q3_K_M — 24 tok/s. Usable on 10 GB VRAM — see full quantization options below.
Model Size
14.77B
Device VRAM
10 GB
Bandwidth
760 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 14B Instruct on NVIDIA GeForce RTX 3080 10GB 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 | 24 tok/s | 260ms | ✓ Yes | Acceptable | estimated |
Notes
Q3_K_M
Q3_K_M fits in 10GB. Tight. Bandwidth helps throughput.
About Qwen 2.5 14B Instruct
Qwen 2.5 14B Instruct (14.77B) is a chat, coding, reasoning, multi-purpose model. Capable general-purpose model with balanced coding and reasoning.
View all Qwen 2.5 14B Instruct hardware options →About NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3080 10GB has 10 GB at 760 GB/s. Street price: $399.
See all models NVIDIA GeForce RTX 3080 10GB can run →Estimate method: Performance estimates based on model size and device bandwidth. 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.