Can I Run / Qwen 3.6 27B / on AMD Instinct MI325X
Can I Run Qwen 3.6 27B on a AMD Instinct MI325X?
Yes
Runs at full precision (fp16). Zero quality loss.
Model size
27.0B
GPU memory
256GB
Smallest quant
Q4_K_M
Best fit
fp16
5 quantizations fit your 256GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 55.0 GB | 56.5 GB | 54.0 GB | +201.0 GB |
| Q8_0 | 29.7 GB | 31.2 GB | 28.7 GB | +226.3 GB |
| Q6_K | 23.2 GB | 24.7 GB | 22.2 GB | +232.8 GB |
| Q5_K_M | 20.2 GB | 21.7 GB | 19.2 GB | +235.8 GB |
| Q4_K_M | 17.4 GB | 18.9 GB | 16.4 GB | +238.6 GB |
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Full model details
Qwen 3.6 27B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD Instinct MI325X →
Top-ranked open-source models that fit in 256GB.
FAQ
Can the AMD Instinct MI325X run Qwen 3.6 27B?
Yes. The AMD Instinct MI325X's 256GB of VRAM is enough to run Qwen 3.6 27B at fp16 quantization (55.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 256GB. It uses about 55.0GB of memory and 56.5GB 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.