diff --git a/docs/get_started/installation/kunlunxin_xpu.md b/docs/get_started/installation/kunlunxin_xpu.md
index 891155539..39c1832ca 100644
--- a/docs/get_started/installation/kunlunxin_xpu.md
+++ b/docs/get_started/installation/kunlunxin_xpu.md
@@ -25,9 +25,9 @@ Verified platform:
```bash
mkdir Work
cd Work
-docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.0
+docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.3
docker run --name fastdeploy-xpu --net=host -itd --privileged -v $PWD:/Work -w /Work \
- ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.0 \
+ ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.3 \
/bin/bash
docker exec -it fastdeploy-xpu /bin/bash
```
@@ -49,7 +49,7 @@ python -m pip install --pre paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/
### Install FastDeploy (**Do NOT install via PyPI source**)
```bash
-python -m pip install fastdeploy-xpu==2.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+python -m pip install fastdeploy-xpu==2.0.3 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
Alternatively, you can install the latest version of FastDeploy (Not recommended)
diff --git a/docs/usage/kunlunxin_xpu_deployment.md b/docs/usage/kunlunxin_xpu_deployment.md
index a2c71645a..4eb7c70f8 100644
--- a/docs/usage/kunlunxin_xpu_deployment.md
+++ b/docs/usage/kunlunxin_xpu_deployment.md
@@ -5,12 +5,6 @@
|ERNIE-4.5-300B-A47B|32K|WINT4|4 (recommend)|export XPU_VISIBLE_DEVICES="0,1,2,3" or "4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 4 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|32K|WINT4|8|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|128K|WINT4|8 (recommend)|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--max-model-len 131072 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
-|ERNIE-4.5-21B-A3B|32K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|32K|WINT4|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|WINT8|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|WINT4|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|32K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="x" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|128K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
diff --git a/docs/zh/get_started/installation/kunlunxin_xpu.md b/docs/zh/get_started/installation/kunlunxin_xpu.md
index c518ab9fd..2e77dac4c 100644
--- a/docs/zh/get_started/installation/kunlunxin_xpu.md
+++ b/docs/zh/get_started/installation/kunlunxin_xpu.md
@@ -25,9 +25,9 @@
```bash
mkdir Work
cd Work
-docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.0
+docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.3
docker run --name fastdeploy-xpu --net=host -itd --privileged -v $PWD:/Work -w /Work \
- ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.0 \
+ ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.0.3 \
/bin/bash
docker exec -it fastdeploy-xpu /bin/bash
```
@@ -49,7 +49,7 @@ python -m pip install --pre paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/
### 安装 FastDeploy（**注意不要通过 pypi 源安装**）
```bash
-python -m pip install fastdeploy-xpu==2.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+python -m pip install fastdeploy-xpu==2.0.3 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
或者你也可以安装最新版 FastDeploy（不推荐）
diff --git a/docs/zh/usage/kunlunxin_xpu_deployment.md b/docs/zh/usage/kunlunxin_xpu_deployment.md
index d9ca4117e..fa4501f5c 100644
--- a/docs/zh/usage/kunlunxin_xpu_deployment.md
+++ b/docs/zh/usage/kunlunxin_xpu_deployment.md
@@ -5,12 +5,6 @@
|ERNIE-4.5-300B-A47B|32K|WINT4|4 （推荐）|export XPU_VISIBLE_DEVICES="0,1,2,3" or "4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 4 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|32K|WINT4|8|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|128K|WINT4|8 （推荐）|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--max-model-len 131072 \
--max-num-seqs 64 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.0|
-|ERNIE-4.5-21B-A3B|32K|BF16|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|32K|WINT4|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|BF16|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|WINT8|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
-|ERNIE-4.5-21B-A3B|128K|WINT4|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-21B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--quantization "wint4" \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|32K|BF16|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="x" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 32768 \
--max-num-seqs 128 \
--quantization "wint8" \
--gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|128K|BF16|1|export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--max-model-len 131072 \
--max-num-seqs 128 \
--gpu-memory-utilization 0.9|>=2.0.3|