Update README.md

README.md

-
 # LLAMA
 
 ## 论文
@@ -20,13 +19,12 @@ LLama是一个基础语言模型的集合,参数范围从7B到65B。在数万亿
 ## 环境配置
 
 ### Docker（方法一）
+```
+docker pull  image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-ubuntu20.04-dtk24.04.2-py3.10
 
-## **TODO**
-
-### 源码编译安装（方法二）
-
-基于光源pytorch2.1.0基础镜像环境：镜像下载地址：[https://sourcefind.cn/#/image/dcu/pytorch](https://sourcefind.cn/#/image/dcu/pytorch)，根据pytorch2.1.0、python、dtk及系统下载对应的镜像版本。pytorch2.1.0镜像里已经安装了trition,flash-attn
+docker run -it -v /path/your_code_data/:/path/your_code_data/ -v /opt/hyhal:/opt/hyhal:ro --shm-size=32G --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name docker_name imageID bash
 
+```
 1. 安装Rust
 
 ```shell
@@ -47,7 +45,6 @@ rm -f $PROTOC_ZIP
 
 ```bash
 cd llama_tgi
-git clone http://developer.hpccube.com/codes/OpenDAS/text-generation-inference.git #根据需要的分支进行切换 例：-b v2.1.1
 cd text-generation-inference
 #安装exllama
 cd server
@@ -73,18 +70,12 @@ pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
 
 另外，`cargo install` 太慢也可以通过在`~/.cargo/config`中添加源来提速。
 
-## 查看安装的版本号
+5.  查看安装的版本号
 
 ```bash
 text-generation-launcher -V  #版本号与官方版本同步
 ```
 
-## 使用前
-
-```bash
-export PYTORCH_TUNABLEOP_ENABLED=0
-```
-
 ## 数据集
 无
 
@@ -94,14 +85,19 @@ export PYTORCH_TUNABLEOP_ENABLED=0
 
 | 基座模型                                                     | chat模型                                                     | GPTQ模型                                                     |
 | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-| [Llama-2-7b-hf](http://113.200.138.88:18080/aimodels/Llama-2-7b-hf/-/archive/main/Llama-2-7b-hf-main.tar.gz) | [Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | [Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ/tree/gptq-4bit-128g-actorder_True) |
-| [Llama-2-13b-hf](http://113.200.138.88:18080/aimodels/Llama-2-13b-hf/-/archive/main/Llama-2-13b-hf-main.tar.gz) | [Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) | [Llama-2-13B-GPTQ](https://huggingface.co/TheBloke/Llama-2-13B-GPTQ/tree/gptq-4bit-128g-actorder_True) |
-| [Llama-2-70b-hf](http://113.200.138.88:18080/aimodels/meta-llama/Llama-2-70b-hf/-/archive/main/Llama-2-70b-hf-main.tar.gz) | [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) | [Llama-2-70B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-70B-Chat-GPTQ/tree/gptq-4bit-128g-actorder_True) |
-| [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) | [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) |                                                              |
-| [Meta-Llama-3-70B](http://113.200.138.88:18080/aimodels/meta-llama/Meta-Llama-3.1-70B/-/archive/main/Meta-Llama-3.1-70B-main.tar.gz) | [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) |                                                              |
+| [Llama-2-7b-hf](http://113.200.138.88:18080/aimodels/Llama-2-7b-hf/) | [Llama-2-7b-chat-hf](http://113.200.138.88:18080/aimodels/findsource-dependency/llama-2-7b-chat-hf) | [Llama-2-7B-Chat-GPTQ](http://113.200.138.88:18080/aimodels/Llama-2-7B-Chat-GPTQ) |
+| [Llama-2-13b-hf](http://113.200.138.88:18080/aimodels/Llama-2-13b-hf/) | [Llama-2-13b-chat-hf](http://113.200.138.88:18080/aimodels/meta-llama/Llama-2-13b-chat-hf) | [Llama-2-13B-chat-GPTQ](http://113.200.138.88:18080/aimodels/Llama-2-13B-chat-GPTQ) |
+| [Llama-2-70b-hf](http://113.200.138.88:18080/aimodels/meta-llama/Llama-2-70b-hf/) | [Llama-2-70b-chat-hf](http://113.200.138.88:18080/aimodels/meta-llama/Llama-2-70b-chat-hf) | [Llama-2-70B-Chat-GPTQ](http://113.200.138.88:18080/aimodels/Llama-2-70B-Chat-GPTQ) |
+| [Meta-Llama-3-8B](http://113.200.138.88:18080/aimodels/Meta-Llama-3-8B) | [Meta-Llama-3-8B-Instruct](http://113.200.138.88:18080/aimodels/Meta-Llama-3-8B-Instruct) |                                                              |
+| [Meta-Llama-3-70B](http://113.200.138.88:18080/aimodels/Meta-Llama-3-70B) | [Meta-Llama-3-70B-Instruct](http://113.200.138.88:18080/aimodels/Meta-Llama-3-70B-Instruct) |                                                              |
 
 
 ### 部署TGI
+
+#### 使用前
+```bash
+export PYTORCH_TUNABLEOP_ENABLED=0
+```
 #### 1. 启动TGI服务
 ```
 HIP_VISIBLE_DEVICES=3 text-generation-launcher --dtype=float16 --model-id /path/to/Llama-2-7b-chat-hf --port 3001
@@ -150,9 +146,12 @@ text-generation-benchmark -s 32 -d 128 --runs 10 --tokenizer-name /path/to/Llama
 text-generation-benchmark --help
 ```
 
-### 推理结果
+## result
 
-## ![img1](./readme_images/img1.png)应用场景
+![img1](./readme_images/img1.png)应用场景
+
+### 精度
+无
 
 ### 算法类别
 对话问答