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+# CPT-LoRA_ST-Vicuna-v1.3-2.7B-PPL-q4f16_0-MLC
+
+This is the [CPT-LoRA_ST-Vicuna-v1.3-2.7B-PPL](https://huggingface.co/nota-ai/cpt-lora_st-vicuna-v1.3-2.7b-ppl) model in MLC format `q4f16_0`.
+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).
+
+## 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://nota-ai/cpt-lora_st-vicuna-v1.3-2.7b-ppl-q4f16_0-MLC
+```
+
+### REST Server
+
+In command line, run
+```bash
+mlc_llm serve HF://nota-ai/cpt-lora_st-vicuna-v1.3-2.7b-ppl-q4f16_0-MLC
+```
+
+### Python API
+
+```python
+from mlc_llm import MLCEngine
+
+# Create engine
+model = "HF://nota-ai/cpt-lora_st-vicuna-v1.3-2.7b-ppl-q4f16_0-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()
+```
+
+### License
+- All rights related to this repository and the compressed models are reserved by Nota Inc.
+- The intended use is strictly limited to research and non-commercial projects.