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Models / GigaChat3
2 models (10B to 10B) · ↓ 12.3K downloads a month · from $0.31/h on 2x 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 |
|---|---|---|---|---|
| GigaChat3.1 10B A1.8B bf16ai-sage/GigaChat3.1-10B-A1.8B-bf16 | vLLM | 23 GB | 29.2 GB | $0.31/h 2x RTX 4060 Ti |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalai-sage/GigaChat3-10B-A1.8B-bf16 | vLLM | 23 GB | 29.2 GB | $0.31/h 2x 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").