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Models / Qwen2.5-Math
GPU memory needed (smallest version of each): Qwen2.5-Math 72B about 176.2 GB. The cheapest runs on Nvidia B300 from $10.95/h right now.
1 model (72B) · ↓ 50.1K downloads a month · from $10.95/h on Nvidia B300 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 |
|---|---|---|---|---|
| Qwen2.5 Math RM 72BQwen/Qwen2.5-Math-RM-72B | vLLM | 146 GB | 176.2 GB | $10.95/h Nvidia B300 |
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").