更新readme版本

README.md

@@ -46,6 +46,21 @@ docker run -it \
 
 关于本项目DCU显卡所需的特殊深度学习库可从[光合](https://developer.sourcefind.cn/tool/)开发者社区下载安装。
 
+## 预训练权重
+**请根据`支持的DCU型号`选择对应模型下载，FP8模型仅在BW1100/BW1101上支持，其他型号请勿使用！**
+
+|  模型名称  | 权重大小 | 数据类型 | 支持的DCU型号  | 最低卡数需求 |         下载地址          |
+|:------:|:----:|:----------:|:----------:|:------:|:---------------------:|
+| Qwen3.5-397B-A17B | 397B | BF16 | K100AI,BW1000 |   16   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
+| Qwen3.5-397B-A17B-INT8 | 397B | INT8 | BW1000 |   8   | [ModelScope](https://www.modelscope.cn/models/metax-tech/Qwen3.5-397B-A17B-W8A8) |
+| Qwen3.5-122B-A10B | 122B | BF16 | K100AI,BW1000 |   8   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-122B-A10B) |
+| Qwen3.5-35B-A3B | 35B | BF16 | K100AI,BW1000 |   2   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) |
+| Qwen3.5-27B | 27B | BF16 | K100AI,BW1000 |   2   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-27B) |
+| Qwen3.5-9B | 9B | BF16 | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-9B) |
+| Qwen3.5-4B | 4B | BF16 | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-4B) |
+| Qwen3.5-2B | 2B | BF16 | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-2B) |
+| Qwen3.5-0.8B | 0.8B | BF16 | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-0.8B) |
+
 ## 数据集
 暂无
 
@@ -64,7 +79,7 @@ docker run -it \
 
 #### 单机推理
 ```bash
-## serve启动
+# serve启动
 vllm serve Qwen/Qwen3.5-35B-A3B \
     --port 8001 \
     --trust-remote-code \
@@ -76,7 +91,7 @@ vllm serve Qwen/Qwen3.5-35B-A3B \
     --enable-auto-tool-choice \
     --tool-call-parser qwen3_coder
 
-## client访问
+# client访问
 curl http://localhost:8001/v1/chat/completions   \
     -H "Content-Type: application/json"  \
     -d '{
@@ -138,7 +153,7 @@ ray start --address='x.x.x.x:6379' --num-gpus=8 --num-cpus=32
 
 3. 启动vllm server
 ```bash
-## serve启动
+# serve启动
 vllm serve Qwen/Qwen3.5-397B-A17B \
     --port 8001 \
     --tensor-parallel-size 16 \
@@ -151,7 +166,7 @@ vllm serve Qwen/Qwen3.5-397B-A17B \
     --enable-auto-tool-choice \
     --tool-call-parser qwen3_coder
 
-## client访问
+# client访问
 curl http://localhost:8001/v1/chat/completions   \
     -H "Content-Type: application/json"  \
     -d '{
@@ -165,25 +180,12 @@ curl http://localhost:8001/v1/chat/completions   \
 
 ## 效果展示
 <div align=center>
-    <img src="./doc/result-dcu.jpg"/>
+    <img src="./doc/result-dcu.png"/>
 </div>
 
 ### 精度
 DCU与GPU精度一致，推理框架：vllm。
 
-## 预训练权重
-|  模型名称  | 权重大小 | DCU型号  | 最低卡数需求 |         下载地址          |
-|:------:|:----:|:----------:|:------:|:---------------------:|
-| Qwen3.5-397B-A17B | 397B | K100AI,BW1000 |   16   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
-| Qwen3.5-397B-A17B-INT8 | 397B | BW1000 |   8   | [Modelscope](https://www.modelscope.cn/models/metax-tech/Qwen3.5-397B-A17B-W8A8) |
-| Qwen3.5-122B-A10B | 122B | K100AI,BW1000 |   8   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-122B-A10B) |
-| Qwen3.5-35B-A3B | 35B | K100AI,BW1000 |   2   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) |
-| Qwen3.5-27B | 27B | K100AI,BW1000 |   2   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-27B) |
-| Qwen3.5-9B | 9B | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-9B) |
-| Qwen3.5-4B | 4B | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-4B) |
-| Qwen3.5-2B | 2B | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-2B) |
-| Qwen3.5-0.8B | 0.8B | K100AI,BW1000 |   1   | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-0.8B) |
-
 ## 源码仓库及问题反馈
 - https://developer.sourcefind.cn/codes/modelzoo/qwen3.5_vllm