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Models / m2-bert
GPU memory needed (smallest version of each): m2-bert 80M about 1.7 GB. The cheapest runs on RTX 3060 from $0.08/h right now.
3 models (80M to 80M) · ↓ 3.7K downloads a month · from $0.08/h on 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 |
|---|---|---|---|---|
| Originaltogethercomputer/m2-bert-80M-2k-retrieval | vLLM | 160 MB | 1.7 GB | $0.08/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originaltogethercomputer/m2-bert-80M-32k-retrieval | vLLM | 220 MB | 1.8 GB | $0.08/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originaltogethercomputer/m2-bert-80M-8k-retrieval | vLLM | 180 MB | 1.7 GB | $0.08/h 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").