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mistral-7b-v0.1-GreeceRome-v0.1

mlx-community/mistral-7b-v0.1-GreeceRome-v0.1
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-v0.1-GreeceRome-v0.1 --prompt "Hello"

Details

Base model
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Vendor
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Task
Text generation
Quantisation
Not stated
Licence
apache-2.0
Downloads
41 in the last 30 days · 496 all time · 0 likes
Published
2024-01-14 · updated 2024-01-14 (2y ago)
Languages
en
Tags
mistral, pretrained