[Intel CPU/XPU] SGL doc updates (#23547)
merge this one as doc change only.
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@@ -222,12 +222,12 @@ Notes:
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Example command to launch SGLang serving:
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```bash Launch Server
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python -m sglang.launch_server \
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--model <MODEL_ID_OR_PATH> \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--host 0.0.0.0 \
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sglang serve \
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--model-path <MODEL_ID_OR_PATH> \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--host 0.0.0.0 \
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--tp 6
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```
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@@ -320,64 +320,64 @@ or MoE (Mixture of Experts) models with fewer than 10B activated parameters, can
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An example command to launch service of W8A8_INT8 DeepSeek-V3.1-Terminus on a Xeon® 6980P server:
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```bash W8A8_INT8
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python -m sglang.launch_server \
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--model IntervitensInc/DeepSeek-V3.1-Terminus-Channel-int8 \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--quantization w8a8_int8 \
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--host 0.0.0.0 \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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sglang serve \
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--model-path IntervitensInc/DeepSeek-V3.1-Terminus-Channel-int8 \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--quantization w8a8_int8 \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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--host 0.0.0.0 \
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--tp 6
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```
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Similarly, an example command to launch service of FP8 DeepSeek-V3.1-Terminus would be:
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```bash FP8
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python -m sglang.launch_server \
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--model deepseek-ai/DeepSeek-V3.1-Terminus \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--host 0.0.0.0 \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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sglang serve \
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--model-path deepseek-ai/DeepSeek-V3.1-Terminus \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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--host 0.0.0.0 \
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--tp 6
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```
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Note: Please set `--torch-compile-max-bs` to the maximum desired batch size for your deployment,
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which can be up to 16. The value `4` in the examples is illustrative.
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Note: Please set `--torch-compile-max-bs` to the maximum desired batch size for your deployment.
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The value `4` in the examples is illustrative.
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### Example: Running Llama-3.2-3B
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An example command to launch service of Llama-3.2-3B with BF16 precision:
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```bash BF16
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python -m sglang.launch_server \
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--model meta-llama/Llama-3.2-3B-Instruct \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--host 0.0.0.0 \
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--enable-torch-compile \
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--torch-compile-max-bs 16 \
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--tp 2
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sglang serve \
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--model-path meta-llama/Llama-3.2-3B-Instruct \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--enable-torch-compile \
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--torch-compile-max-bs 16 \
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--host 0.0.0.0 \
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--tp 3
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```
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The example command to launch service of W8A8_INT8 version of Llama-3.2-3B:
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```bash W8A8_INT8
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python -m sglang.launch_server \
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--model RedHatAI/Llama-3.2-3B-quantized.w8a8 \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--quantization w8a8_int8 \
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--host 0.0.0.0 \
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--enable-torch-compile \
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--torch-compile-max-bs 16 \
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--tp 2
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sglang serve \
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--model-path RedHatAI/Llama-3.2-3B-quantized.w8a8 \
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--trust-remote-code \
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--disable-overlap-schedule \
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--device cpu \
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--quantization w8a8_int8 \
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--enable-torch-compile \
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--torch-compile-max-bs 16 \
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--host 0.0.0.0 \
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--tp 3
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```
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Note: The `--torch-compile-max-bs` and `--tp` settings are examples that should be adjusted for your setup.
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