[Doc] add DeepSeek-V3.2-Exp-w8a8 to installation.md and tutorials (#186)

Signed-off-by: WeiJie_Hong <1462519292@qq.com>
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WeiJie_Hong
2026-02-10 17:18:32 +08:00
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# Multi XPU (DeepSeek-V3.2-Exp-w8a8)
## Run vllm-kunlun on Multi XPU
Setup environment using container:
Please follow the [installation.md](../installation.md) document to set up the environment first.
Create a container
```bash
# !/bin/bash
# rundocker.sh
XPU_NUM=8
DOCKER_DEVICE_CONFIG=""
if [ $XPU_NUM -gt 0 ]; then
for idx in $(seq 0 $((XPU_NUM-1))); do
DOCKER_DEVICE_CONFIG="${DOCKER_DEVICE_CONFIG} --device=/dev/xpu${idx}:/dev/xpu${idx}"
done
DOCKER_DEVICE_CONFIG="${DOCKER_DEVICE_CONFIG} --device=/dev/xpuctrl:/dev/xpuctrl"
fi
export build_image="xxx"
docker run -itd ${DOCKER_DEVICE_CONFIG} \
--net=host \
--cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
--tmpfs /dev/shm:rw,nosuid,nodev,exec,size=32g \
--cap-add=SYS_PTRACE \
-v /home/users/vllm-kunlun:/home/vllm-kunlun \
-v /usr/local/bin/xpu-smi:/usr/local/bin/xpu-smi \
--name "$1" \
-w /workspace \
"$build_image" /bin/bash
```
### Preparation Weight
- Pull DeepSeek-V3.2-Exp-w8a8-int8 weights
```
wget -O DeepSeek-V3.2-Exp-w8a8-int8.tar.gz https://aihc-private-hcd.bj.bcebos.com/v1/LLM/DeepSeek/DeepSeek-V3.2-Exp-w8a8-int8.tar.gz?authorization=bce-auth-v1%2FALTAKvz6x4eqcmSsKjQxq3vZdB%2F2025-12-24T06%3A07%3A10Z%2F-1%2Fhost%2Fa324bf469176934a05f75d3acabc3c1fb891be150f43fb1976e65b7ec68733db
```
- Ensure that the field "quantization_config" is included.If not, deployment will result in an OOM (Out of Memory) error.
vim model/DeepSeek-V3.2-Exp-w8a8-int8/config.json
```config.json
"quantization_config": {
"config_groups": {
"group_0": {
"format": "int-quantized",
"input_activations": {
"actorder": null,
"block_structure": null,
"dynamic": true,
"group_size": null,
"num_bits": 8,
"observer": null,
"observer_kwargs": {},
"strategy": "token",
"symmetric": true,
"type": "int"
},
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 8,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "channel",
"symmetric": true,
"type": "int"
}
}
},
"format": "int-quantized",
"global_compression_ratio": null,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.12.2"
},
```
### Online Serving on Multi XPU
Start the vLLM server on multi XPU:
```bash
unset XPU_DUMMY_EVENT && \
export XPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 && \
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 && \
export XMLIR_CUDNN_ENABLED=1 && \
export XPU_USE_DEFAULT_CTX=1 && \
export XMLIR_FORCE_USE_XPU_GRAPH=1 && \
export XMLIR_ENABLE_FAST_FC=1 && \
export XPU_USE_FAST_SWIGLU=1 && \
export CUDA_GRAPH_OPTIMIZE_STREAM=1 && \
export XMLIR_ENABLE_MOCK_TORCH_COMPILE=false && \
export XPU_USE_MOE_SORTED_THRES=1 && \
export USE_ORI_ROPE=1 && \
export VLLM_USE_V1=1
python -m vllm.entrypoints.openai.api_server \
--host 0.0.0.0 \
--port 8806 \
--model /data/DeepSeek-V3.2-Exp-w8a8-int8 \
--gpu-memory-utilization 0.95 \
--trust-remote-code \
--max-model-len 32768 \
--tensor-parallel-size 8 \
--dtype float16 \
--max_num_seqs 32 \
--max_num_batched_tokens 8192 \
--block-size 64 \
--no-enable-chunked-prefill \
--distributed-executor-backend mp \
--disable-log-requests \
--no-enable-prefix-caching --kv-cache-dtype bfloat16 \
--compilation-config '{"splitting_ops":["vllm.unified_attention",
"vllm.unified_attention_with_output",
"vllm.unified_attention_with_output_kunlun",
"vllm.mamba_mixer2",
"vllm.mamba_mixer",
"vllm.short_conv",
"vllm.linear_attention",
"vllm.plamo2_mamba_mixer",
"vllm.gdn_attention",
"vllm.sparse_attn_indexer",
"vllm.sparse_attn_indexer_vllm_kunlun"]}'
```