Update vllm setting (#12059)

* revert

* update

* update

* update

docker/llm/serving/xpu/docker/Dockerfile

@@ -97,6 +97,5 @@ COPY ./start-pp_serving-service.sh       /llm/
 COPY ./start-lightweight_serving-service.sh       /llm/
 
 ENV LD_LIBRARY_PATH /usr/local/lib/python3.11/dist-packages/intel_extension_for_pytorch/lib/:/opt/intel/oneapi/tbb/2021.12/env/../lib/intel64/gcc4.8:/opt/intel/oneapi/mpi/2021.12/opt/mpi/libfabric/lib:/opt/intel/oneapi/mpi/2021.12/lib:/opt/intel/oneapi/mkl/2024.1/lib:/opt/intel/oneapi/ippcp/2021.11/lib/:/opt/intel/oneapi/ipp/2021.11/lib:/opt/intel/oneapi/dpl/2022.5/lib:/opt/intel/oneapi/dnnl/2024.1/lib:/opt/intel/oneapi/debugger/2024.1/opt/debugger/lib:/opt/intel/oneapi/dal/2024.2/lib:/opt/intel/oneapi/compiler/2024.1/opt/oclfpga/host/linux64/lib:/opt/intel/oneapi/compiler/2024.1/opt/compiler/lib:/opt/intel/oneapi/compiler/2024.1/lib:/opt/intel/oneapi/ccl/2021.12/lib/
-ENV BIGDL_LLM_SDP_IGNORE_MASK 0
 
 WORKDIR /llm/

docker/llm/serving/xpu/docker/start-vllm-service.sh

@@ -1,21 +1,30 @@
 #!/bin/bash
 model="YOUR_MODEL_PATH"
 served_model_name="YOUR_MODEL_NAME"
+
+export CCL_WORKER_COUNT=2
+export FI_PROVIDER=shm
+export CCL_ATL_TRANSPORT=ofi
+export CCL_ZE_IPC_EXCHANGE=sockets
+export CCL_ATL_SHM=1
+ 
+export USE_XETLA=OFF
+export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=2
+export TORCH_LLM_ALLREDUCE=0
  
 source /opt/intel/1ccl-wks/setvars.sh
-export BIGDL_LLM_SDP_IGNORE_MASK=0
 
 python -m ipex_llm.vllm.xpu.entrypoints.openai.api_server \
   --served-model-name $served_model_name \
   --port 8000 \
   --model $model \
   --trust-remote-code \
-  --gpu-memory-utilization 0.75 \
+  --gpu-memory-utilization 0.9 \
   --device xpu \
   --dtype float16 \
   --enforce-eager \
-  --load-in-low-bit sym_int4 \
+  --load-in-low-bit fp8 \
-  --max-model-len 4096 \
+  --max-model-len 2048 \
-  --max-num-batched-tokens 10240 \
+  --max-num-batched-tokens 4000 \
   --max-num-seqs 12 \
   --tensor-parallel-size 1

docker/llm/serving/xpu/docker/vllm_online_benchmark.py

@@ -176,7 +176,7 @@ def benchmark(llm_urls, model, prompt, num_requests, max_concurrent_requests, ma
             cur_len = len(cur_llm_urls)
             if dataset is None:
                 payload = {
-                    "model": model,
+                    "model": model_name,
                     "prompt": prompt,
                     "n": 1,
                     "best_of": 1,
@@ -193,7 +193,7 @@ def benchmark(llm_urls, model, prompt, num_requests, max_concurrent_requests, ma
                 for index in range(num_requests):
                     prompt, prompt_len, output_len = sampled_requests[index]
                     payload = {
-                        "model": model,
+                        "model": model_name,
                         "prompt": prompt,
                         "n": 1,
                         "best_of": 1,