Mistral 7B models
8 Mistral 7B models on Hugging Face, from 7.2B to 7.2B parameters. At the precision each one is published in, the smallest needs about 16.2 GB of VRAM (Mistral-7B-Instruct-v0.2, cheapest live fit: RTX A5000) and the largest about 16.2 GB (openchat-3.5-0106, cheapest live fit: RTX A5000). The cheapest way to run Mistral-7B-Instruct-v0.2 is $0.176/hr.
Mistral 7B models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Mistral-7B-Instruct-v0.2 | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| GritLM-7B | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| zephyr-7b-beta | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| neural-chat-7b-v3-3 | 7.2B | F16 | 16.2 GB | RTX A5000 | $0.176/hr |
| Mistral-7B-Instruct-v0.1 | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| Mistral-7B-Instruct-v0.2 | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| Mistral-7B-v0.1 | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/hr |
| openchat-3.5-0106 | 7.2B | BF16 | 16.2 GB | RTX A5000 | $0.176/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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