SqueezeLLM-style gradients/Fisher Information collection in MLX
Generate SqueezeLLM-style gradients using MLX and faster than PyTorch MPS. Original Implementation
conda create -n mlx-squeezellm-grads python=3.11 -y
conda activate mlx-squeezellm-grads
conda install --file requirements.txt
# Later, when you're done.
conda deactivatepython run.py --model_name meta-llama/Llama-2-7b-hf --gpu True --nsamples 100
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