QwenQwen3-14B Instruct on NVIDIA GeForce RTX 3080 10GB
RTX 3080 10GB runs Qwen3-14B Instruct at Q4_K_M — 21 tok/s. Usable on 10 GB VRAM — see full quantization options below.
Model Size
14B
Device VRAM
10 GB
Bandwidth
760 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-14B Instruct on NVIDIA GeForce RTX 3080 10GB at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 21 tok/s | 300ms | ✓ Yes | Acceptable | estimated |
Notes
Q4_K_M
Estimated from phi-4-14b benchmarks.
About Qwen3-14B Instruct
Qwen3-14B Instruct (14B) is a chat, coding, ai coding, reasoning, multi-purpose model. Qwen 3 dense 14B instruct: capable general-purpose performance with 32K default and 128K max context. Apache 2.0.
View all Qwen3-14B 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: Estimated from comparable model benchmarks. Reference hardware source: github.com (2026-03-14)
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.