swift

Get Started

  • Installation and Usage
  • Interface Training and Inference
  • Push Model
  • Basic Usage
  • Interface List
  • Res-Tuning Component
  • đŸ”¥SCEdit
  • Compatibility with Peft

Instruction

  • Instructions
  • LLM Fine-tuning Documentation
  • LLM Inference Documentation
  • LLM Evaluation Documentation
  • LLM Quantization and Export Documentation
  • LLM Experiment Documentation
  • Command Line Arguments
  • Supported models and datasets
  • Customization and Extension
  • Frequently Asked Questions in LLM & VLM Training, Inference, Deployment, and Evaluation

LLM Training and Inference

  • LLM Documentation
  • Human Preference Alignment Training Documentation
  • OLLaMA Export Documentation
  • VLLM Inference Acceleration and Deployment
  • LmDeploy Inference Acceleration and Deployment
  • Megatron Training Documentation
  • Best Practices for Self-Cognition Fine-Tuning
  • Agent Fine-tuning Best Practices
  • Agent Deployment Best Practice
  • Qwen1.5 Full Process Best Practices
  • NPU Best Practice
  • Hands-on Training and Inference with Grok 300B
  • LLM Human Alignment Training Documentation
  • Best Practices for ORPO Algorithm
  • Best Practices for SimPO Algorithm
  • HuggingFace Eco-compatibility
  • Benchmark

Multi-Modal LLM Training and Inference

  • Multi-Modal Documentation
  • Human Preference Alignment Training Documentation
  • LmDeploy Inference Acceleration and Deployment
  • vLLM Inference Acceleration Documentation
  • Mutlimoda LLM Deployment
  • Qwen-VL Best Practice
  • Qwen2-VL Best Practice
  • Qwen-Audio Best Practice
  • Llava Best Practice
  • Llava Video Best Practice
  • InternVL Best Practice
  • Deepseek-VL Best Practice
  • Internlm-Xcomposer2 Best Practice
  • Phi3-Vision Best Practice
  • Yi-VL Best Practice
  • Florence Best Practice
  • CogVLM Best Practice
  • CogVLM2 Best Practice
  • GLM4V Best Practice
  • CogVLM2 Video Best Practice
  • MiniCPM-V Best Practice

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