LLaVA models
9 LLaVA models on Hugging Face, from 894M to 13.4B parameters. At the precision each one is published in, the smallest needs about 2.0 GB of VRAM (llava-onevision-qwen2-0.5b-ov-hf, cheapest live fit: V100) and the largest about 29.8 GB (llava-1.5-13b-hf, cheapest live fit: V100). The cheapest way to run llava-onevision-qwen2-0.5b-ov-hf is $0.088/hr.
LLaVA models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| llava-onevision-qwen2-0.5b-ov-hf | 894M | F16 | 2.0 GB | V100 | $0.088/hr |
| llava-v1.6-vicuna-7b | 7.1B | BF16 | 15.8 GB | RTX 5060 Ti | $0.110/hr |
| llava-1.5-7b-hf | 7.1B | F16 | 15.8 GB | V100 | $0.088/hr |
| llava-med-v1.5-mistral-7b | 7.6B | BF16 | 16.9 GB | RTX A5000 | $0.176/hr |
| llava-v1.6-mistral-7b | 7.6B | BF16 | 16.9 GB | RTX A5000 | $0.176/hr |
| llava-v1.6-mistral-7b-hf | 7.6B | F16 | 16.9 GB | RTX A5000 | $0.176/hr |
| llava-onevision-qwen2-7b-ov | 8.0B | BF16 | 17.9 GB | RTX A5000 | $0.176/hr |
| LLaVA-Video-7B-Qwen2 | 8.0B | BF16 | 17.9 GB | RTX A5000 | $0.176/hr |
| llava-1.5-13b-hf | 13.4B | F16 | 29.8 GB | V100 | $0.187/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.
