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Models / Huihui-gemma-4-E2B-it-abliterated
GPU memory needed (smallest version of each): Huihui-gemma-4-E2B-it-abliterated ~5.12B about 13.9 GB. The cheapest runs on RTX 4060 Ti from $0.13/h right now.
1 model (~5.12B) · ↓ 2.8K downloads a month · from $0.13/h on RTX 4060 Ti 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 |
|---|---|---|---|---|
| Originalhuihui-ai/Huihui-gemma-4-E2B-it-abliterated | vLLM | 10 GB | 13.9 GB | $0.13/h RTX 4060 Ti |
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").