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llama2-70b-qnt4bit

mlx-community/llama2-70b-qnt4bit
Open on Hugging Face
Parameters
69B
Weights (est.)
≈ 275 GB
Mac memory (est.)
512 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-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/llama2-70b-qnt4bit --prompt "Hello"

Details

Base model
—
Vendor
—
Task
Text generation
Quantisation
Not stated
Licence
—
Downloads
34 in the last 30 days · 482 all time · 0 likes
Published
2024-03-21 · updated 2024-04-08 (2y ago)
Languages
en
Tags
llama, facebook, meta, pytorch, llama-2