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Models / SFR-Embedding-2_R
GPU memory needed (smallest version of each): SFR-Embedding-2_R ~7.11B about 18.6 GB. The cheapest runs on RTX 3090 from $0.23/h right now.
1 model (~7.11B) · ↓ 21.9K downloads a month · from $0.23/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 |
|---|---|---|---|---|
| OriginalSalesforce/SFR-Embedding-2_R | vLLM | 14 GB | 18.6 GB | $0.23/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").