Can I Run Qwen3 Next 80B A3B Thinking on a AMD Instinct MI300X?
Runs at Q8_0 — near-lossless quality.
10 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 87.4 GB | 88.9 GB | 84.8 GB | +104.6 GB |
| Q6_K | 68.0 GB | 69.5 GB | 65.5 GB | +124.0 GB |
| Q5_K_M | 58.7 GB | 60.2 GB | 56.7 GB | +133.3 GB |
| Q5_0 | 56.9 GB | 58.4 GB | 55.0 GB | +135.1 GB |
| Q4_K_M | 50.3 GB | 51.8 GB | 48.4 GB | +141.7 GB |
| Q4_K_S | 47.5 GB | 49.0 GB | 45.5 GB | +144.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +145.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +157.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +159.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +164.3 GB |
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Top-ranked open-source models that fit in 192GB.
FAQ
Can the AMD Instinct MI300X run Qwen3 Next 80B A3B Thinking?
Yes. The AMD Instinct MI300X's 192GB of VRAM is enough to run Qwen3 Next 80B A3B Thinking at Q8_0 quantization (87.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 192GB. It uses about 87.4GB of memory and 88.9GB 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.