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Models / DeepHat-V1
1 model (7B) · ↓ 4.7K downloads a month · from $0.23/h on RTX A5000 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 |
|---|---|---|---|---|
| OriginalDeepHat/DeepHat-V1-7B | vLLM | 15 GB | 19.7 GB | $0.23/h RTX A5000 |
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").