swift

Get Started

  • Installation and Usage
  • Interface Training and Inference
  • Push Model
  • Basic Usage
  • Interface List
  • Res-Tuning Component
  • 🔥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
    • 📚Tutorials!
    • ⭐️Best Practices!
    • 🐔References！
    • 🍀Multi-Modal Best Practices!
  • 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

API Doc

  • Hub
  • Trainer
  • Tuner
swift
  • LLM Documentation
  • View page source

LLM Documentation

中文文档

📚Tutorials!

  1. LRHF Training

  2. DPO Training

  3. ORPO Training

  4. SimPO Training

  5. OLLAMA Export

  6. VLLM Inference and Deployment

  7. LmDeploy Inference and Deployment

  8. Megatron-training

⭐️Best Practices!

  1. Self Cognition Best Practice

  2. Agent Training and Inference Best Practice

  3. Agent deployment best practice

  4. Qwen1.5 Best Practice

  5. NPU Best Practice

  6. Grok-1 Training and Inference Best Practice

🐔References！

  1. Benchmark

  2. Compatible with the HuggingFace ecosystem

🍀Multi-Modal Best Practices!

Please check: Multi-Modal Best Practices

Previous Next

© Copyright 2022-2024, Alibaba ModelScope.

Built with Sphinx using a theme provided by Read the Docs.