diff --git a/docs/usage/kunlunxin_xpu_deployment.md b/docs/usage/kunlunxin_xpu_deployment.md
index 9c937022e..ce784de8b 100644
--- a/docs/usage/kunlunxin_xpu_deployment.md
+++ b/docs/usage/kunlunxin_xpu_deployment.md
@@ -20,6 +20,7 @@
|ERNIE-4.5-300B-A47B-W4A8C8-TP4|32K|W4A8|4|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-W4A8C8-TP4-Paddle \
--port 8188 \
--tensor-parallel-size 4 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "W4A8" \
--gpu-memory-utilization 0.9 \
--load-choices "default"|2.3.0|
|ERNIE-4.5-VL-28B-A3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/ERNIE-4.5-VL-28B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--quantization "wint8" \
--max-model-len 32768 \
--max-num-seqs 10 \
--enable-mm \
--mm-processor-kwargs '{"video_max_frames": 30}' \
--limit-mm-per-prompt '{"image": 10, "video": 3}' \
--reasoning-parser ernie-45-vl \
--load-choices "default"|2.3.0|
|ERNIE-4.5-VL-424B-A47B|32K|WINT8|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-VL-424B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--quantization "wint8" \
--max-model-len 32768 \
--max-num-seqs 10 \
--enable-mm \
--mm-processor-kwargs '{"video_max_frames": 30}' \
--limit-mm-per-prompt '{"image": 10, "video": 3}' \
--reasoning-parser ernie-45-vl \
--load-choices "default"|2.3.0|
+|PaddleOCR-VL-0.9B|32K|BF16|1|export FD_ENABLE_MAX_PREFILL=1
export XPU_VISIBLE_DEVICES="0" # Specify any card
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/PaddleOCR-VL \
--port 8188 \
--metrics-port 8181 \
--engine-worker-queue-port 8182 \
--max-model-len 16384 \
--max-num-batched-tokens 16384 \
--gpu-memory-utilization 0.8 \
--max-num-seqs 256|2.3.0|
## Quick start
@@ -162,8 +163,77 @@ for chunk in response:
if chunk.choices[0].delta is not None and chunk.choices[0].delta.role != 'assistant':
reasoning_content = get_str(chunk.choices[0].delta.reasoning_content)
content = get_str(chunk.choices[0].delta.content)
- is_reason = "[answer]" if reasoning_content == '' else "[think]"
- is_reason = ""
- print(reasoning_content+content+is_reason, end='', flush=True)
+ print(reasoning_content + content + is_reason, end='', flush=True)
+print('\n')
+```
+
+### Deploy online serving based on PaddleOCR-VL-0.9B
+
+#### Start service
+
+Deploy the PaddleOCR-VL-0.9B model with BF16 precision and 16K context length on 1 XPU
+
+```bash
+export FD_ENABLE_MAX_PREFILL=1
+export XPU_VISIBLE_DEVICES="0" # Specify any card
+python -m fastdeploy.entrypoints.openai.api_server \
+ --model PaddlePaddle/PaddleOCR-VL \
+ --port 8188 \
+ --metrics-port 8181 \
+ --engine-worker-queue-port 8182 \
+ --max-model-len 16384 \
+ --max-num-batched-tokens 16384 \
+ --gpu-memory-utilization 0.8 \
+ --max-num-seqs 256
+```
+
+#### Send requests
+
+```bash
+curl -X POST "http://0.0.0.0:8188/v1/chat/completions" \
+-H "Content-Type: application/json" \
+-d '{
+ "messages": [
+ {"role": "user", "content": [
+ {"type": "image_url", "image_url": {"url": "https://paddle-model-ecology.bj.bcebos.com/PPOCRVL/dataset/ocr_v5_eval/handwrite_ch_rec_val/中文手写古籍_000054_crop_32.jpg"}},
+ {"type": "text", "text": "OCR:"}
+ ]}
+ ],
+ "metadata": {"enable_thinking": false}
+}'
+```
+
+```python
+import openai
+
+ip = "0.0.0.0"
+service_http_port = "8188"
+client = openai.Client(base_url=f"http://{ip}:{service_http_port}/v1", api_key="EMPTY_API_KEY")
+
+response = client.chat.completions.create(
+ model="default",
+ messages=[
+ {"role": "user", "content": [
+ {"type": "image_url", "image_url": {"url": "https://paddle-model-ecology.bj.bcebos.com/PPOCRVL/dataset/ocr_v5_eval/handwrite_ch_rec_val/中文手写古籍_000054_crop_32.jpg"}},
+ {"type": "text", "text": "OCR:"}
+ ]
+ },
+ ],
+ temperature=0.0001,
+ max_tokens=4096,
+ stream=True,
+ top_p=0,
+ metadata={"enable_thinking": False},
+)
+
+def get_str(content_raw):
+ content_str = str(content_raw) if content_raw is not None else ''
+ return content_str
+
+for chunk in response:
+ if chunk.choices[0].delta is not None and chunk.choices[0].delta.role != 'assistant':
+ reasoning_content = get_str(chunk.choices[0].delta.reasoning_content)
+ content = get_str(chunk.choices[0].delta.content)
+ print(reasoning_content + content, end='', flush=True)
print('\n')
```
diff --git a/docs/zh/usage/kunlunxin_xpu_deployment.md b/docs/zh/usage/kunlunxin_xpu_deployment.md
index feeb96fba..af35b1364 100644
--- a/docs/zh/usage/kunlunxin_xpu_deployment.md
+++ b/docs/zh/usage/kunlunxin_xpu_deployment.md
@@ -20,6 +20,7 @@
|ERNIE-4.5-300B-A47B-W4A8C8-TP4|32K|W4A8|4|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-W4A8C8-TP4-Paddle \
--port 8188 \
--tensor-parallel-size 4 \
--max-model-len 32768 \
--max-num-seqs 64 \
--quantization "W4A8" \
--gpu-memory-utilization 0.9 \
--load-choices "default"|2.3.0|
|ERNIE-4.5-VL-28B-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-VL-28B-A3B-Paddle \
--port 8188 \
--tensor-parallel-size 1 \
--quantization "wint8" \
--max-model-len 32768 \
--max-num-seqs 10 \
--enable-mm \
--mm-processor-kwargs '{"video_max_frames": 30}' \
--limit-mm-per-prompt '{"image": 10, "video": 3}' \
--reasoning-parser ernie-45-vl \
--load-choices "default"|2.3.0|
|ERNIE-4.5-VL-424B-A47B|32K|WINT8|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-VL-424B-A47B-Paddle \
--port 8188 \
--tensor-parallel-size 8 \
--quantization "wint8" \
--max-model-len 32768 \
--max-num-seqs 10 \
--enable-mm \
--mm-processor-kwargs '{"video_max_frames": 30}' \
--limit-mm-per-prompt '{"image": 10, "video": 3}' \
--reasoning-parser ernie-45-vl \
--load-choices "default"|2.3.0|
+|PaddleOCR-VL-0.9B|32K|BF16|1|export FD_ENABLE_MAX_PREFILL=1
export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
python -m fastdeploy.entrypoints.openai.api_server \
--model PaddlePaddle/PaddleOCR-VL \
--port 8188 \
--metrics-port 8181 \
--engine-worker-queue-port 8182 \
--max-model-len 16384 \
--max-num-batched-tokens 16384 \
--gpu-memory-utilization 0.8 \
--max-num-seqs 256|2.3.0|
## 快速开始
@@ -117,7 +118,7 @@ python -m fastdeploy.entrypoints.openai.api_server \
--load-choices "default"
```
-#### Send requests
+#### 请求服务
```bash
curl -X POST "http://0.0.0.0:8188/v1/chat/completions" \
@@ -164,8 +165,77 @@ for chunk in response:
if chunk.choices[0].delta is not None and chunk.choices[0].delta.role != 'assistant':
reasoning_content = get_str(chunk.choices[0].delta.reasoning_content)
content = get_str(chunk.choices[0].delta.content)
- is_reason = "[answer]" if reasoning_content == '' else "[think]"
- is_reason = ""
- print(reasoning_content+content+is_reason, end='', flush=True)
+ print(reasoning_content + content, end='', flush=True)
+print('\n')
+```
+
+### 基于PaddleOCR-VL-0.9B模型部署在线服务
+
+#### 启动服务
+
+基于 BF16 精度和 16K 上下文部署 PaddleOCR-VL-0.9B 模型到 单卡 P800 服务器
+
+```bash
+export FD_ENABLE_MAX_PREFILL=1
+export XPU_VISIBLE_DEVICES="0" # 指定任意一张卡
+python -m fastdeploy.entrypoints.openai.api_server \
+ --model PaddlePaddle/PaddleOCR-VL \
+ --port 8188 \
+ --metrics-port 8181 \
+ --engine-worker-queue-port 8182 \
+ --max-model-len 16384 \
+ --max-num-batched-tokens 16384 \
+ --gpu-memory-utilization 0.8 \
+ --max-num-seqs 256
+```
+
+#### 请求服务
+
+```bash
+curl -X POST "http://0.0.0.0:8188/v1/chat/completions" \
+-H "Content-Type: application/json" \
+-d '{
+ "messages": [
+ {"role": "user", "content": [
+ {"type": "image_url", "image_url": {"url": "https://paddle-model-ecology.bj.bcebos.com/PPOCRVL/dataset/ocr_v5_eval/handwrite_ch_rec_val/中文手写古籍_000054_crop_32.jpg"}},
+ {"type": "text", "text": "OCR:"}
+ ]}
+ ],
+ "metadata": {"enable_thinking": false}
+}'
+```
+
+```python
+import openai
+
+ip = "0.0.0.0"
+service_http_port = "8188"
+client = openai.Client(base_url=f"http://{ip}:{service_http_port}/v1", api_key="EMPTY_API_KEY")
+
+response = client.chat.completions.create(
+ model="default",
+ messages=[
+ {"role": "user", "content": [
+ {"type": "image_url", "image_url": {"url": "https://paddle-model-ecology.bj.bcebos.com/PPOCRVL/dataset/ocr_v5_eval/handwrite_ch_rec_val/中文手写古籍_000054_crop_32.jpg"}},
+ {"type": "text", "text": "OCR:"}
+ ]
+ },
+ ],
+ temperature=0.0001,
+ max_tokens=4096,
+ stream=True,
+ top_p=0,
+ metadata={"enable_thinking": False},
+)
+
+def get_str(content_raw):
+ content_str = str(content_raw) if content_raw is not None else ''
+ return content_str
+
+for chunk in response:
+ if chunk.choices[0].delta is not None and chunk.choices[0].delta.role != 'assistant':
+ reasoning_content = get_str(chunk.choices[0].delta.reasoning_content)
+ content = get_str(chunk.choices[0].delta.content)
+ print(reasoning_content + content, end='', flush=True)
print('\n')
```