Can I Run Qwen3 8B on a AMD RX 6600 XT?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
8.2B
GPU memory
8.0GB
Smallest quant
Q2_K
Best fit
Q6_K
11 quantizations fit your 8.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 7.8 GB | 9.3 GB | 6.7 GB | +0.3 GB |
| Q5_K_M | 6.8 GB | 8.3 GB | 5.8 GB | +1.2 GB |
| Q5_K_S | 6.7 GB | 8.2 GB | 5.7 GB | +1.3 GB |
| Q5_0 | 6.6 GB | 8.1 GB | 5.7 GB | +1.4 GB |
| Q4_1 | 6.1 GB | 7.6 GB | 5.3 GB | +1.9 GB |
| Q4_K_M | 6.0 GB | 7.5 GB | 5.0 GB | +2.0 GB |
| Q4_K_S | 5.7 GB | 7.2 GB | 4.8 GB | +2.3 GB |
| Q3_K_L | 4.7 GB | 6.2 GB | 4.4 GB | +3.3 GB |
| Q3_K_M | 4.4 GB | 5.9 GB | 4.1 GB | +3.6 GB |
| Q3_K_S | 4.2 GB | 5.7 GB | 3.8 GB | +3.8 GB |
| Q2_K | 3.7 GB | 5.2 GB | 3.3 GB | +4.3 GB |
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Full model details
Qwen3 8B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD RX 6600 XT →
Top-ranked open-source models that fit in 8.0GB.
FAQ
Can the AMD RX 6600 XT run Qwen3 8B?
Yes. The AMD RX 6600 XT's 8.0GB of VRAM is enough to run Qwen3 8B at Q6_K quantization (7.8GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 8.0GB. It uses about 7.8GB of memory and 9.3GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.