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### What this PR does / why we need it? Add a `VLLMAscendQuantizer` to support w8a8 static (W8A8) and dynamic on linear and moe (W8A8_DYNAMIC), the quantizer will be enable if a model has [quantize filed](https://huggingface.co/vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8/blob/main/config.json#L27). If MindIE Turbo is installed, the MindIE Turbo Quantizer will apply, otherwise will use VLLMAscendQuantizer directly. - This patch fix installation docs to make installation work - This patch enable norm quantization by patch `RMSNorm.__init__`, `RMSNorm.forward_oot`, `NPUModelRunnerBase.load_model` - Add `AscendW8A8LinearMethod` for W8A8 - Add `AscendW8A8DynamicLinearMethod` and `AscendW8A8DynamicFusedMoEMethod` for W8A8_DYNAMIC - Add a e2e test for `vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8` ### Does this PR introduce _any_ user-facing change? Yes, support w8a8 quantization. After this patch supported, users can use below commands to run w8a8 models: ``` vllm serve /root/.cache/modelscope/hub/Qwen/Qwen2.5-7B-Instruct-w8a8 --served-model-name "qwen2.5-7B" ``` ### How was this patch tested? 0. CI passed: add e2e test for `vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8` 1. From @Yikun: I test Qwen2.5-0.5B-Instruct-w8a8 for functional test all is well, pls refer to https://github.com/vllm-project/vllm-ascend/pull/580#issuecomment-2816747613 2. From @dingdingchaomian : Use qwen2.5-72b-instruct model and deepseek-v2-lite-chat tested, both models were quantized using Ascend's msmodelslim tool: - Qwen2.5-72b-instruct were tested twice, one for w8a8 static and one for w8a8 dynamic. - Deepseek-v2-lite-chat were tested once because its quantization used both static and dynamic w8a8. Models were tested using both off line inference and online serving, and both work well. The inference codes are exactly the same with the examples in https://vllm-ascend.readthedocs.io/en/latest/quick_start.html, with model path and tensor parallel number changed. --------- Signed-off-by: dingdingchaomian <wangce21@huawei.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Co-authored-by: dingdingchaomian <wangce21@huawei.com> Co-authored-by: Angazenn <zengyanjia@huawei.com> Co-authored-by: liujiaxu <liujiaxu4@huawei.com> Co-authored-by: ApsarasX <apsarax@outlook.com> Co-authored-by: ganyi1996ppo <pleaplusone.gy@gmail.com>
vLLM Ascend Plugin documents
Live doc: https://vllm-ascend.readthedocs.io
Build the docs
# Install dependencies.
pip install -r requirements-docs.txt
# Build the docs.
make clean
make html
Open the docs with your browser
python -m http.server -d _build/html/
Launch your browser and open http://localhost:8000/.