Can I Run Gemma 4 26B A4B on a NVIDIA A100 80GB?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 53.0 GB | 54.5 GB | 52.0 GB | +27.0 GB |
| Q8_0 | 28.6 GB | 30.1 GB | 27.6 GB | +51.4 GB |
| Q6_K | 22.4 GB | 23.9 GB | 21.4 GB | +57.6 GB |
| Q5_K_M | 19.5 GB | 21.0 GB | 18.5 GB | +60.5 GB |
| Q4_K_M | 16.8 GB | 18.3 GB | 15.8 GB | +63.2 GB |
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FAQ
Can the NVIDIA A100 80GB run Gemma 4 26B A4B?
Yes. The NVIDIA A100 80GB's 80.0GB of VRAM is enough to run Gemma 4 26B A4B at fp16 quantization (53.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 80.0GB. It uses about 53.0GB of memory and 54.5GB 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.