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Models / OLMoE
4 models (1B to 1B) · ↓ 215.2K downloads a month · from $0.18/h on 2x RTX 3060 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 |
|---|---|---|---|---|
| OLMoE 1B 7B 0125 Instructallenai/OLMoE-1B-7B-0125-Instruct | vLLM | 14 GB | 18.2 GB | $0.18/h 2x RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalallenai/OLMoE-1B-7B-0924 | vLLM | 14 GB | 18.2 GB | $0.18/h 2x RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OLMoE 1B 7B 0924 Instructallenai/OLMoE-1B-7B-0924-Instruct | vLLM | 14 GB | 18.2 GB | $0.18/h 2x RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalallenai/OLMoE-1B-7B-0125 | vLLM | 14 GB | 18.2 GB | $0.18/h 2x RTX 3060 |
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").