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[Doc] update faq about w8a8 (#534)

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update faq about w8a8

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Signed-off-by: Mengqing Cao <cmq0113@163.com>
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Mengqing Cao
2025-04-16 09:37:21 +08:00
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@@ -101,3 +101,15 @@ vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is the s
### 10. Does vllm-ascend support Prefill Disaggregation feature?
Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [this PR](https://github.com/vllm-project/vllm-ascend/pull/432). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.
### 11. Does vllm-ascend support quantization method?
Currently, there is no quantization method supported in vllm-ascend originally. And the quantization supported is working in progress, w8a8 will firstly be supported.
### 12. How to run w8a8 DeepSeek model?
Currently, running on v0.7.3, we should run w8a8 with vllm + vllm-ascend + mindie-turbo. And we only need vllm + vllm-ascend when v0.8.X is released. After installing the above packages, you can follow the steps below to run w8a8 DeepSeek:
1. Quantize bf16 DeepSeek, e.g. [unsloth/DeepSeek-R1-BF16](https://modelscope.cn/models/unsloth/DeepSeek-R1-BF16), with msModelSlim to get w8a8 DeepSeek. Find more details in [msModelSlim doc](https://gitee.com/ascend/msit/tree/master/msmodelslim/msmodelslim/pytorch/llm_ptq)
2. Copy the content of `quant_model_description_w8a8_dynamic.json` into the `quantization_config` of `config.json` of the quantized model files.
3. Reference with the quantized DeepSeek model.