Yi models
5 Yi models on Hugging Face, from 6.1B to 34.4B parameters. At the precision each one is published in, the smallest needs about 13.5 GB of VRAM (Yi-6B, cheapest live fit: RTX 5060 Ti) and the largest about 76.9 GB (Yi-34B, cheapest live fit: A100). The cheapest way to run Yi-6B is $0.110/hr.
Yi models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Yi-6B | 6.1B | BF16 | 13.5 GB | RTX 5060 Ti | $0.110/hr |
| Yi-6B-Chat | 6.1B | BF16 | 13.5 GB | RTX 5060 Ti | $0.110/hr |
| Yi-6B-200K | 6.1B | BF16 | 13.5 GB | RTX 5060 Ti | $0.110/hr |
| Yi-34B | 34.4B | BF16 | 76.9 GB | A100 | $1.31/hr |
| Yi-34B-Chat | 34.4B | BF16 | 76.9 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.
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