QwenQwen3-14B Instruct on NVIDIA RTX 4080 Laptop (120-150W)
RTX 4080 Laptop (120-150W) runs Qwen3-14B Instruct at Q5_K_M — 16 tok/s. Usable on 12 GB VRAM — see full quantization options below.
Model Size
14B
Device VRAM
12 GB
Bandwidth
384 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-14B Instruct on NVIDIA RTX 4080 Laptop (120-150W) 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 | 16 tok/s | 368ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_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 RTX 4080 Laptop (120-150W)
NVIDIA RTX 4080 Laptop (120-150W) has 12 GB at 384 GB/s. Street price: $0.
See all models NVIDIA RTX 4080 Laptop (120-150W) 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.