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Models / gemma-4
GPU memory needed (smallest version of each): gemma-4 26B about 61.1 GB. The cheapest runs on Nvidia A800 from $1.04/h right now.
1 model (26B) · ↓ 0 downloads a month · from $1.04/h on Nvidia A800 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originaljustinchuby/gemma-4-26b-a4b-it-onnx | ONNX Runtime GenAI | 50 GB | 61.1 GB | $1.04/h Nvidia A800 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").