XingChen-AGI models
2 XingChen-AGI models on Hugging Face, from 1.4B to 31.2B parameters. At the precision each one is published in, the smallest needs about 3.2 GB of VRAM (TeleOCR, cheapest live fit: RTX 3060) and the largest about 69.8 GB (Xing4.0-29B-A4B, cheapest live fit: A100). The cheapest way to run TeleOCR is $0.110/hr.
XingChen-AGI models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| TeleOCR | 1.4B | BF16 | 3.2 GB | RTX 3060 | $0.110/hr |
| Xing4.0-29B-A4B | 31.2B | BF16 | 69.8 GB | A100 | $1.31/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
