## LLM Documentation

### 📚Tutorials!

1. [LLM Inference](LLM-inference.md)
2. [LLM Finetuning](LLM-fine-tuning.md)
3. [DPO Training](DPO.md)
4. [Web-ui Training and Inference](../GetStarted/Web-ui.md)
5. [LLM Evaluation](LLM-eval.md)
6. [LLM Quantization](LLM-quantization.md)
7. [VLLM Inference and Deployment](VLLM-inference-acceleration-and-deployment.md)
8. [LLM Experimental](LLM-exp.md)
9. [ORPO Training](ORPO.md)
10. [SimPO Training](SimPO.md)

### ⭐️Best Practices!

1. [Self Cognition Best Practice](Self-cognition-best-practice.md)
2. [Agent Training and Inference Best Practice](Agent-fine-tuning-best-practice.md)
3. [Agent deployment best practice](Agent-deployment-best-practice.md)
4. [Qwen1.5 Best Practice](Qwen1.5-best-practice.md)
5. [NPU Best Practice](NPU-best-practice.md)
6. [Grok-1 Training and Inference Best Practice](Grok-1-best-practice.md)


### 🐔References！
1. [Customization for models and datasets](Customization.md)
2. [Command Line Parameters](Command-line-parameters.md)
3. [Supported models and datasets](Supported-models-datasets.md)
4. [Benchmark](Benchmark.md)
5. [Compatible with the HuggingFace ecosystem](Compat-HF.md)

### 🍀Multi-Modal Best Practices!

Please check: [Multi-Modal Best Practices](../Multi-Modal/index.md)