Can I Run Qwen3 VL 8B Thinking on a AMD Radeon PRO W7800?
Runs at full precision (fp16). Zero quality loss.
12 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 18.6 GB | 20.1 GB | 1.2 GB | +13.4 GB |
| Q8_0 | 10.3 GB | 11.8 GB | 8.7 GB | +21.6 GB |
| Q6_K | 8.3 GB | 9.8 GB | 6.7 GB | +23.8 GB |
| Q5_K_M | 7.3 GB | 8.8 GB | 5.8 GB | +24.8 GB |
| Q5_K_S | 7.1 GB | 8.6 GB | 5.7 GB | +24.9 GB |
| Q4_1 | 6.5 GB | 8.0 GB | 5.3 GB | +25.5 GB |
| Q4_K_M | 6.3 GB | 7.8 GB | 5.0 GB | +25.7 GB |
| Q4_K_S | 6.0 GB | 7.5 GB | 4.8 GB | +26.0 GB |
| Q4_0 | 6.0 GB | 7.5 GB | 4.8 GB | +26.1 GB |
| Q3_K_M | 4.7 GB | 6.2 GB | 4.1 GB | +27.3 GB |
| Q3_K_S | 4.4 GB | 5.9 GB | 3.8 GB | +27.6 GB |
| Q2_K | 3.9 GB | 5.4 GB | 3.3 GB | +28.1 GB |
Try it in the cloud first
Don't want to download Qwen3 VL 8B Thinking just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 32.0GB.
FAQ
Can the AMD Radeon PRO W7800 run Qwen3 VL 8B Thinking?
Yes. The AMD Radeon PRO W7800's 32.0GB of VRAM is enough to run Qwen3 VL 8B Thinking at fp16 quantization (18.6GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 32.0GB. It uses about 18.6GB of memory and 20.1GB 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.