Loading…
Loading…
Models / chandra-ocr-2
1 model (~5.3B) · ↓ 1.5M 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 |
|---|---|---|---|---|
| Originaldatalab-to/chandra-ocr-2 | vLLM | 11 GB | 15.2 GB | $0.14/h RTX A4000 |
| onnx (Prince-1)Prince-1/chandra-ocr-2-onnx | ONNX Runtime GenAI | 5.3 GB | 8.8 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").