Can I Run / Qwen 3.5 9B / on AMD Instinct MI250X
Can I Run Qwen 3.5 9B on a AMD Instinct MI250X?
Yes
Runs at full precision (fp16). Zero quality loss.
Model size
9.0B
GPU memory
128GB
Smallest quant
Q4_K_M
Best fit
fp16
5 quantizations fit your 128GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 19.0 GB | 20.5 GB | 18.0 GB | +109.0 GB |
| Q8_0 | 10.6 GB | 12.1 GB | 9.6 GB | +117.4 GB |
| Q6_K | 8.4 GB | 9.9 GB | 7.4 GB | +119.6 GB |
| Q5_K_M | 7.4 GB | 8.9 GB | 6.4 GB | +120.6 GB |
| Q4_K_M | 6.5 GB | 8.0 GB | 5.5 GB | +121.5 GB |
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Full model details
Qwen 3.5 9B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD Instinct MI250X →
Top-ranked open-source models that fit in 128GB.
FAQ
Can the AMD Instinct MI250X run Qwen 3.5 9B?
Yes. The AMD Instinct MI250X's 128GB of VRAM is enough to run Qwen 3.5 9B at fp16 quantization (19.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 128GB. It uses about 19.0GB of memory and 20.5GB 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.