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README.md

@@ -1,47 +1,35 @@
 ---
-license: Apache License 2.0
-
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
-
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
+language:
+- multilingual
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-3-medium-128k-instruct/resolve/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- nlp
+- code
+- mlx
+inference:
+  parameters:
+    temperature: 0.7
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+# mlx-community/Phi-3-medium-128k-instruct-bf16
+
+The Model [mlx-community/Phi-3-medium-128k-instruct-bf16](https://huggingface.co/mlx-community/Phi-3-medium-128k-instruct-bf16) was converted to MLX format from [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) using mlx-lm version **0.18.1**.
+
+## Use with mlx
+
 ```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('mlx-community/Phi-3-medium-128k-instruct-bf16')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/mlx-community/Phi-3-medium-128k-instruct-bf16.git
+pip install mlx-lm
 ```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Phi-3-medium-128k-instruct-bf16")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```