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Models / Faro-Yi
4 models (9B to 34B) · ↓ 34.8K downloads a month · from $0.21/h on RTX 3090 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 |
|---|---|---|---|---|
| Originalwenbopan/Faro-Yi-9B-DPO | vLLM | 18 GB | 22.7 GB | $0.21/h RTX 3090 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalwenbopan/Faro-Yi-9B | vLLM | 18 GB | 22.7 GB | $0.21/h RTX 3090 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalwenbopan/Faro-Yi-34B-DPO | vLLM | 69 GB | 80.9 GB | $0.89/h 2x Nvidia A40 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalwenbopan/Faro-Yi-34B | vLLM | 69 GB | 80.9 GB | $0.89/h 2x Nvidia A40 |
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").