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llava-llama-3-8b-v1_1-4bit

mlx-community/llava-llama-3-8b-v1_1-4bit
Vision + text · xtuner
4-bit Open on Hugging Face
Parameters
8.4B
Weights (est.)
≈ 5.5 GB
Mac memory (est.)
16 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/llava-llama-3-8b-v1_1-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
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Vendor
—
Task
Vision + text
Quantisation
4-bit
Licence
—
Downloads
46 in the last 30 days · 842 all time · 4 likes
Published
2024-04-30 · updated 2024-04-30 (2y ago)
Tags
xtuner, llava