Update model.properties, Dockerfile, README.md files

Deleted LICENSE

LICENSE

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\ No newline at end of file

README.md

@@ -123,7 +123,7 @@ python benchmarks/benchmark_throughput.py --num-prompts 1 --model mixtral/Mixtra
 1、启动服务端：
 
 ```bash
-python -m vllm.entrypoints.openai.api_server  --model mixtral/Mixtral-8x7B-Instruct-v0.1  --dtype float16 --enforce-eager -tp 4 
+python -m vllm.entrypoints.openai.api_server  --model mixtral/Mixtral-8x7B-Instruct-v0.1  -tp 4 --dtype float16 --enforce-eager  
 ```
 
 2、启动客户端：
@@ -139,7 +139,7 @@ python benchmarks/benchmark_serving.py --model mixtral/Mixtral-8x7B-Instruct-v0.
 启动服务：
 
 ```bash
-vllm serve mixtral/Mixtral-8x7B-Instruct-v0.1 --enforce-eager --dtype float16 --trust-remote-code --port 8000 -tp4
+vllm serve mixtral/Mixtral-8x7B-Instruct-v0.1 --enforce-eager --dtype float16 -tp 4 --trust-remote-code --port 8000 
 ```
 
 这里serve之后 为加载模型路径，`--dtype`为数据类型：float16，默认情况使用tokenizer中的预定义聊天模板，`--chat-template`可以添加新模板覆盖默认模板,`-q gptq`为使用gptq量化模型进行推理。
@@ -214,7 +214,7 @@ ssh -L 8000:计算节点IP:8000 -L 8001:计算节点IP:8001 用户名@登录节
 3.启动OpenAI兼容服务
 
 ```
-vllm serve mixtral/Mixtral-8x7B-Instruct-v0.1  --enforce-eager --dtype float16 --trust-remote-code  --port 8000 -tp4
+vllm serve mixtral/Mixtral-8x7B-Instruct-v0.1  --enforce-eager -tp 4 --dtype float16 --trust-remote-code  --port 8000 
 ```
 
 4.启动gradio服务

model.properties

 # 模型唯一标识
 modelCode = 699
 # 模型名称
-modelName=chatglm_vllm
+modelName=mixtral
 # 模型描述
-modelDescription=ChatGLM3是智谱AI与清华大学KEG实验室联合发布的新一代对话预训练模型
+modelDescription=Mixtral模型是一种稀疏专家混合（SMoE）语言模型，在每层包含多个前馈网络（专家），通过路由网络为每个输入token选择最相关的专家进行处理，从而在保持高效计算的同时提升模型性能。
 # 应用场景
 appScenario=推理,对话问答,医疗,科研,金融,教育
 # 框架类型