[CI] Add codespell check for doc (#1314)
Add codespell check test for doc only PR Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
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33
.github/doc_codespell.yaml
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33
.github/doc_codespell.yaml
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name: 'doc-codespell'
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on:
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pull_request:
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branches:
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- 'main'
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- '*-dev'
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paths:
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- 'docs/**'
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jobs:
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codespell:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.10"]
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements-lint.txt
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- name: Run codespell check
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run: |
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CODESPELL_EXCLUDES=('--skip' 'tests/prompts/**,./benchmarks/sonnet.txt,*tests/lora/data/**,build/**,./vllm_ascend.egg-info/**')
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CODESPELL_IGNORE_WORDS=('-L' 'CANN,cann,NNAL,nnal,ASCEND,ascend,EnQue,CopyIn')
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codespell --toml pyproject.toml "${CODESPELL_EXCLUDES[@]}" "${CODESPELL_IGNORE_WORDS[@]}"
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@@ -8,7 +8,7 @@ Since 0.9.0rc2 version, quantization feature is experimentally supported in vLLM
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To quantize a model, users should install [ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md) which is the Ascend compression and acceleration tool. It is an affinity-based compression tool designed for acceleration, using compression as its core technology and built upon the Ascend platform.
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Currently, only the specific tag [modelslim-VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-VLLM-8.1.RC1.b020_001/msmodelslim/README.md) of modelslim works with vLLM Ascend. Please do not install other version until modelslim master version is avaliable for vLLM Ascend in the future.
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Currently, only the specific tag [modelslim-VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-VLLM-8.1.RC1.b020_001/msmodelslim/README.md) of modelslim works with vLLM Ascend. Please do not install other version until modelslim master version is available for vLLM Ascend in the future.
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Install modelslim:
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```bash
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@@ -34,7 +34,7 @@ You can also download the quantized model that we uploaded. Please note that the
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Once convert action is done, there are two important files generated.
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1. [confg.json](https://www.modelscope.cn/models/vllm-ascend/DeepSeek-V2-Lite-W8A8/file/view/master/config.json?status=1). Please make sure that there is no `quantization_config` field in it.
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1. [config.json](https://www.modelscope.cn/models/vllm-ascend/DeepSeek-V2-Lite-W8A8/file/view/master/config.json?status=1). Please make sure that there is no `quantization_config` field in it.
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2. [quant_model_description.json](https://www.modelscope.cn/models/vllm-ascend/DeepSeek-V2-Lite-W8A8/file/view/master/quant_model_description.json?status=1). All the converted weights info are recorded in this file.
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@@ -77,7 +77,7 @@ sampling_params = SamplingParams(temperature=0.6, top_p=0.95, top_k=40)
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llm = LLM(model="{quantized_model_save_path}",
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max_model_len=2048,
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trust_remote_code=True,
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# Enable quantization by specifing `quantization="ascend"`
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# Enable quantization by specifying `quantization="ascend"`
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quantization="ascend")
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outputs = llm.generate(prompts, sampling_params)
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@@ -90,7 +90,7 @@ for output in outputs:
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### Online inference
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```bash
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# Enable quantization by specifing `--quantization ascend`
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# Enable quantization by specifying `--quantization ascend`
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vllm serve {quantized_model_save_path} --served-model-name "deepseek-v2-lite-w8a8" --max-model-len 2048 --quantization ascend --trust-remote-code
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```
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