Can I Run DeepSeek R1 0528 Qwen3 8B on a AMD RX 7600?
Runs comfortably at Q6_K — minimal quality loss.
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 |
| 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 |
| Q4_0 | 5.6 GB | 7.1 GB | 4.8 GB | +2.4 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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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 8.0GB.
FAQ
Can the AMD RX 7600 run DeepSeek R1 0528 Qwen3 8B?
Yes. The AMD RX 7600's 8.0GB of VRAM is enough to run DeepSeek R1 0528 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.