Update README.md

README.md

@@ -17,7 +17,7 @@ inference: false
 A bilingual instruction-tuned LoRA model of https://huggingface.co/meta-llama/Llama-2-13b-hf
 
 - Instruction-following datasets used: alpaca, alpaca-zh, open assistant
-- Training framework: https://github.com/hiyouga/LLaMA-Efficient-Tuning
+- Training framework: [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning)
 
 Usage:
 
@@ -40,7 +40,7 @@ inputs = inputs.to("cuda")
 generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
 ```
 
-You could also alternatively launch a CLI demo by using the script in https://github.com/hiyouga/LLaMA-Efficient-Tuning
+You could also alternatively launch a CLI demo by using the script in [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning)
 
 ```bash
 python src/cli_demo.py --model_name_or_path hiyouga/Llama-2-Chinese-13b-chat
@@ -48,7 +48,9 @@ python src/cli_demo.py --model_name_or_path hiyouga/Llama-2-Chinese-13b-chat
 
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+The model is trained using the web UI of [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning).
 
+![ui](ui.jpg)
 
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