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Models / gemma-4-E4B-it-qat-q4_0-unquantized
GPU memory needed (smallest version of each): gemma-4-E4B-it-qat-q4_0-unquantized ~7.94B about 20.7 GB. The cheapest runs on 2x RTX 3060 from $0.16/h right now.
1 model (~7.94B) · ↓ 1.1K downloads a month · from $0.16/h on 2x RTX 3060 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 |
|---|---|---|---|---|
| Originalunsloth/gemma-4-E4B-it-qat-q4_0-unquantized | vLLM | 16 GB | 20.7 GB | $0.16/h 2x RTX 3060 |
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").