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Models / Olmo-3-1025
1 model (7B) · ↓ 1.1M downloads a month · from $0.24/h on RTX 3090 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 |
|---|---|---|---|---|
| Originalallenai/Olmo-3-1025-7B | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Thinkallenai/Olmo-3-7B-Think | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Instructallenai/Olmo-3-7B-Instruct | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Instruct SFTallenai/Olmo-3-7B-Instruct-SFT | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Instruct DPOallenai/Olmo-3-7B-Instruct-DPO | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Think SFTallenai/Olmo-3-7B-Think-SFT | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
| Olmo 3 7B Think DPOallenai/Olmo-3-7B-Think-DPO | vLLM | 15 GB | 23.2 GB | $0.24/h RTX 3090 |
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").