[mxfp8 moe training] update readme (#4084) #1704

	name: Run 4xH100 tests

	on:
	push:
	branches:
	- main
	tags:
	- ciflow/4xh100/*
	workflow_dispatch:

	concurrency:
	group: 4xH100_tests-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number \|\| github.ref }}
	cancel-in-progress: true

	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}

	jobs:
	test:
	strategy:
	fail-fast: false
	matrix:
	include:
	- name: H100
	runs-on: linux.aws.h100.4
	torch-spec: '--pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu126'
	gpu-arch-type: "cuda"
	gpu-arch-version: "12.4"
	permissions:
	id-token: write
	contents: read
	uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
	with:
	timeout: 60
	runner: ${{ matrix.runs-on }}
	gpu-arch-type: ${{ matrix.gpu-arch-type }}
	gpu-arch-version: ${{ matrix.gpu-arch-version }}
	submodules: recursive
	script: \|
	conda create -n venv python=3.10 -y
	conda activate venv
	export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
	export NCCL_NVLS_ENABLE=0
	python -m pip install --upgrade pip
	pip install uv
	pip install ${{ matrix.torch-spec }}
	uv pip install -r dev-requirements.txt
	pip install . --no-build-isolation
	./test/float8/test_everything_multi_gpu.sh
	./test/prototype/mx_formats/test_mxfp8_allgather.sh

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