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Models / PwC-Embedding_expr
GPU memory needed (smallest version of each): PwC-Embedding_expr ~560M about 2.8 GB. The cheapest runs on RTX 3060 from $0.09/h right now.
1 model (~560M) · ↓ 362 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 |
|---|---|---|---|---|
| OriginalSamilPwC-AXNode-GenAI/PwC-Embedding_expr | vLLM | 1.1 GB | 2.8 GB | $0.09/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").