QwenQwen3-14B Instruct on NVIDIA GeForce RTX 5080
Yes — RTX 5080 handles Qwen3-14B Instruct well at Q8_0 — 29 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
14B
Device VRAM
16 GB
Bandwidth
960 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-14B Instruct on NVIDIA GeForce RTX 5080 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 29 tok/s | 250ms | ✓ Yes | Good | estimated |
Notes
Q8_0
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 5080
NVIDIA GeForce RTX 5080 has 16 GB at 960 GB/s. Street price: $1,099.
See all models NVIDIA GeForce RTX 5080 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.