Can I Run / Qwen 3.5 9B / on NVIDIA H100 80GB
Can I Run Qwen 3.5 9B on a NVIDIA H100 80GB?
Yes
Runs at full precision (f32). Zero quality loss.
Model size
9.7B
GPU memory
80.0GB
Smallest quant
Q3_K_S
Best fit
f32
12 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 39.8 GB | 41.3 GB | 1.8 GB | +40.2 GB |
| fp16 | 20.4 GB | 21.9 GB | 0.9 GB | +59.6 GB |
| Q8_0 | 11.3 GB | 12.8 GB | 9.5 GB | +68.7 GB |
| Q6_K | 9.0 GB | 10.5 GB | 7.5 GB | +71.0 GB |
| Q5_K_M | 7.9 GB | 9.4 GB | 6.6 GB | +72.1 GB |
| Q5_K_S | 7.7 GB | 9.2 GB | 6.4 GB | +72.3 GB |
| Q4_1 | 7.1 GB | 8.6 GB | 5.8 GB | +72.9 GB |
| Q4_K_M | 6.9 GB | 8.4 GB | 5.7 GB | +73.1 GB |
| Q4_K_S | 6.5 GB | 8.1 GB | 5.4 GB | +73.5 GB |
| Q4_0 | 6.5 GB | 8.0 GB | 5.4 GB | +73.5 GB |
| Q3_K_M | 5.1 GB | 6.6 GB | 4.7 GB | +74.9 GB |
| Q3_K_S | 4.7 GB | 6.2 GB | 4.3 GB | +75.3 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
NVIDIA H100 80GB →
Top-ranked open-source models that fit in 80.0GB.
FAQ
Can the NVIDIA H100 80GB run Qwen 3.5 9B?
Yes. The NVIDIA H100 80GB's 80.0GB of VRAM is enough to run Qwen 3.5 9B at f32 quantization (39.8GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 80.0GB. It uses about 39.8GB of memory and 41.3GB 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.