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Models / stablelm-2
GPU memory needed (smallest version of each): stablelm-2 12B about 30.1 GB. The cheapest runs on RTX A6000 from $0.46/h right now.
1 model (12B) · ↓ 954 downloads a month · from $0.46/h on RTX A6000 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 |
|---|---|---|---|---|
| Originalstabilityai/stablelm-2-12b | vLLM | 24 GB | 30.1 GB | $0.46/h RTX A6000 |
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").