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Showing posts with label
MLX
.
Show all posts
Showing posts with label
MLX
.
Show all posts
Qwen 32B
I am pleased with the performance and depth of the 32B Qwen MLX, running
locally on my Mac Studio M1 with 64GB of RAM.
9 tokens per second is not fast, but acceptable.
A 15-second wait for the first token output is very good.
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How to get a model from HuggingFace on Mac OS
How to get a model from HuggingFace on Mac OS
This guide documents the steps needed to download HuggingFace models (especially MLX models) correctly on Mac OS.
Read more »
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mlx-lm
MLX LM is a Python package for generating text and fine-tuning large language models on Apple silicon with MLX
https://pypi.org/project/mlx-lm/#description
% pip install mlx-lm
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MLX
https://youtu.be/sI1uKhagm7c?si=7HgD6wLBfqeEBqKe
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apt quotation..
“A man should be able to
change a diaper
,
plan an invasion
,
butcher a hog
,
conn a ship
,
design a building
,
write a sonnet
,
balance accounts
,
build a wall
,
set a bone
,
comfort the dying
,
take orders, give orders, cooperate
, act alone,
solve equations
, analyze a new problem,
pitch manure
,
program a computer
,
cook a tasty meal
,
fight efficiently
,
die gallantly
. Specialization is for insects.” by
Robert A. Heinlein
(author, aeronautical engineer, and naval officer)