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Models / gemma-4-E2B-it-qat-q4_0-unquantized
GPU memory needed (smallest version of each): gemma-4-E2B-it-qat-q4_0-unquantized ~5.1B about 13.9 GB. The cheapest runs on RTX A4000 from $0.11/h right now.
1 model (~5.1B) · ↓ 1.7K downloads a month · from $0.11/h on RTX A4000 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-E2B-it-qat-q4_0-unquantized | vLLM | 10 GB | 13.9 GB | $0.11/h RTX A4000 |
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").