Loading…
Loading…
Models / resume-jd-cross-encoder
GPU memory needed (smallest version of each): resume-jd-cross-encoder ~125M about 1.8 GB. The cheapest runs on RTX 3060 from $0.10/h right now.
1 model (~125M) · ↓ 346 downloads a month · from $0.10/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 |
|---|---|---|---|---|
| Originalalimuhammad24/resume-jd-cross-encoder | vLLM | 250 MB | 1.8 GB | $0.10/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").