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Models / WeMM-Embedding
GPU memory needed (smallest version of each): WeMM-Embedding 2B about 8 GB, WeMM-Embedding 4B about 13.9 GB, WeMM-Embedding 9B about 24.1 GB. The cheapest runs on RTX 3060 from $0.09/h right now.
3 models (2B to 9B) · ↓ 23.7K downloads a month · from $0.09/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 |
|---|---|---|---|---|
| Originaltencent/WeMM-Embedding-2B | vLLM | 5.4 GB | 8 GB | $0.09/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originaltencent/WeMM-Embedding-4B | vLLM | 10 GB | 13.9 GB | $0.17/h RTX 5060 Ti |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originaltencent/WeMM-Embedding-9B | vLLM | 19 GB | 24.1 GB | $0.53/h RTX 5000 Ada |
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").