Use generator args to group arguments to generator #100

	name: Compile main

	on:
	push:
	branches:
	- main
	pull_request:
	workflow_dispatch:

	jobs:
	gguf-util-test:
	strategy:
	matrix:
	runner: [macos-14]
	runs-on: ${{matrix.runner}}
	steps:
	- name: Checkout repo
	uses: actions/checkout@v2
	- name: Setup Python
	uses: actions/setup-python@v2
	with:
	python-version: 3.11
	- name: Print machine info
	run: \|
	uname -a
	if [ $(uname -s) == Darwin ]; then
	sysctl machdep.cpu.brand_string
	sysctl machdep.cpu.core_count
	fi
	- name: Install requirements
	run: \|
	echo "Intalling pip packages"
	pip install gguf
	pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
	pip install -r requirements.txt

	git clone https://github.com/ggerganov/llama.cpp.git
	pushd llama.cpp
	make
	popd

	- name: Download GGUF files
	run: \|
	mkdir gguf_files
	wget -O gguf_files/llama-2-7b.Q4_0.gguf "https://huggingface.co/TheBloke/Llama-2-7B-GGUF/resolve/main/llama-2-7b.Q4_0.gguf?download=true"
	./llama.cpp/quantize --allow-requantize gguf_files/llama-2-7b.Q4_0.gguf gguf_files/llama-2-7b.Q4_0.requant_F32.gguf F32

	- name: Load files
	run: \|
	touch test.py
	echo "from build.gguf_util import test_by_to_float" >> test.py
	echo "test_by_to_float(\"gguf_files/llama-2-7b.Q4_0.gguf\", \"gguf_files/llama-2-7b.Q4_0.requant_F32.gguf\")" >> test.py
	cat test.py
	python test.py

	echo "Tests complete."

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