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Models / Qwythos
1 model (9B) · ↓ 10.1K downloads a month · from $0.31/h on 2x 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/Qwythos-9B-Claude-Mythos-5-1M | vLLM | 19 GB | 24.3 GB | $0.31/h 2x RTX A4000 |
| Qwythos 9B v2empero-ai/Qwythos-9B-v2 | vLLM | 19 GB | 24.9 GB | $0.31/h 2x RTX A4000 |
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").