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Models / Qwen3.8
3 models (4B to 35B) · ↓ 236K downloads a month · from $0.14/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 |
|---|---|---|---|---|
| Originalempero-ai/Qwen3.8-4B-Distill | vLLM | 9.3 GB | 13.8 GB | $0.14/h RTX A4000 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalempero-ai/Qwen3.8-9B-Distill | vLLM | 19 GB | 24.9 GB | $0.34/h 2x RTX 5060 Ti |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalempero-ai/Qwen3.8-35B-A3B-Distill | vLLM | 72 GB | 82.9 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").