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Models / sgpt-bloom-7b1-msmarco
GPU memory needed (smallest version of each): sgpt-bloom-7b1-msmarco about 35.4 GB. The cheapest runs on Nvidia A40 from $0.60/h right now.
1 model · ↓ 288 downloads a month · from $0.60/h on Nvidia A40 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 |
|---|---|---|---|---|
| Originalbigscience/sgpt-bloom-7b1-msmarco | vLLM | 28 GB | 35.4 GB | $0.60/h 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").