QwenQwen3-8B Instruct on NVIDIA RTX 4080 Laptop (120-150W)
RTX 4080 Laptop (120-150W) runs Qwen3-8B Instruct at Q8_0 — 21 tok/s. Usable on 12 GB VRAM — see full quantization options below.
Model Size
8.2B
Device VRAM
12 GB
Bandwidth
384 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-8B Instruct on NVIDIA RTX 4080 Laptop (120-150W) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 21 tok/s | 299ms | ✓ Yes | Acceptable | estimated |
Notes
Q8_0
Estimated from qwen-2-5-7b benchmarks.
About Qwen3-8B Instruct
Qwen3-8B Instruct (8.2B) is a chat, coding, ai coding, reasoning, multi-purpose model. Qwen 3 dense 8B instruct from Alibaba (~8.2B parameters, ~6.95B non-embedding). Capable chat, coding, and reasoning; 32K default context with 128K max. Apache 2.0.
View all Qwen3-8B 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.