Create README.md

README.md

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+---
+library_name: mlc-llm
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+- lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual
+tags:
+- mlc-llm
+- web-llm
+- Multilingual
+- DeepSeek-R1
+---
+
+# DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-q4f16_1-MLC
+
+This is the [DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-q4f16_1-MLC](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual) model in MLC format `q4f16_1`.  
+The model can be used for projects [MLC-LLM](https://github.com/mlc-ai/mlc-llm) and [WebLLM](https://github.com/mlc-ai/web-llm).  
+  
+Thank you mitulagr2 for creating the DeepSeek-R1-Distill-Qwen-1.5B-q4f16_1 custom wasm.  
+The MLC_LM library from the official sources does not support Distill-Qwen-1.5B-q4f16_1. 
+
+感謝mitulagr2 製作DeepSeek-R1-Distill-Qwen-1.5B-q4f16_1專用的wasm。  
+MLC_LLM 官方lib無法使用Distill-Qwen-1.5B-q4f16_1。  
+WASM：https://huggingface.co/mitulagr2/DeepSeek-R1-Distill-Qwen-1.5B-q4f16_1-MLC/tree/main  
+## Example Usage  
+
+Here are some examples of using this model in MLC LLM.
+Before running the examples, please install MLC LLM by following the [installation documentation](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).
+
+### Chat
+
+In command line, run
+```bash
+mlc_llm chat HF://willopcbeta/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-q4f16_1-MLC
+```
+
+### REST Server
+
+In command line, run
+```bash
+mlc_llm serve HF://willopcbeta/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-q4f16_1-MLC
+```
+
+### Python API
+
+```python
+from mlc_llm import MLCEngine
+
+# Create engine
+model = "HF://willopcbeta/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-q4f16_1-MLC"
+engine = MLCEngine(model)
+
+# Run chat completion in OpenAI API.
+for response in engine.chat.completions.create(
+    messages=[{"role": "user", "content": "What is the meaning of life?"}],
+    model=model,
+    stream=True,
+):
+    for choice in response.choices:
+        print(choice.delta.content, end="", flush=True)
+print("\n")
+
+engine.terminate()
+```
+
+## Documentation
+
+For more information on MLC LLM project, please visit our [documentation](https://llm.mlc.ai/docs/) and [GitHub repo](http://github.com/mlc-ai/mlc-llm).