QwenQwen3-8B Instruct on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB runs Qwen3-8B Instruct at Q5_K_M — 24 tok/s. Usable on 8 GB VRAM — see full quantization options below.
Model Size
8.2B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-8B Instruct on NVIDIA GeForce RTX 4060 8GB 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 | 24 tok/s | 274ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_K_M
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 GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB 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.