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Llama-3-Aplite-Instruct-4x8B-MoE-4bit

mlx-community/Llama-3-Aplite-Instruct-4x8B-MoE-4bit
4-bit Open on Hugging Face
Parameters
25B
Weights (est.)
≈ 14.0 GB
Mac memory (est.)
24 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/Llama-3-Aplite-Instruct-4x8B-MoE-4bit --prompt "Hello"

Details

Base model
meta-llama/Meta-Llama-3-8B-Instruct (finetune) · Meta Llama 3 8B Instruct on the radar →
Vendor
Meta · Llama
Task
Text generation
Quantisation
4-bit
Licence
llama3
Downloads
54 in the last 30 days · 558 all time · 0 likes
Published
2024-04-26 · updated 2024-04-26 (2y ago)
Languages
en
Tags
mixtral, facebook, meta, pytorch, llama, llama-3, code