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Mistral-7B-Instruct-v0.2-8-bit-mlx

mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx
8-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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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/Mistral-7B-Instruct-v0.2-8-bit-mlx --prompt "Hello"

Details

Base model
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Vendor
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Task
Text generation
Quantisation
8-bit
Licence
apache-2.0
Downloads
60 in the last 30 days · 960 all time · 1 likes
Published
2024-01-04 · updated 2024-01-04 (2y ago)
Tags
mistral, finetuned