unsloth

GitHub

提供 Unsloth 快速微调大模型的专家指导,涵盖 LoRA/QLoRA 优化、API 使用及最佳实践,旨在实现 2-5 倍加速和内存大幅降低。

03-fine-tuning/unsloth/SKILL.md Orchestra-Research/AI-Research-SKILLs

触发场景

使用 Unsloth 进行模型微调 咨询 Unsloth 特性或 API 调试 Unsloth 相关代码

安装

npx skills add Orchestra-Research/AI-Research-SKILLs --skill unsloth -g -y
更多选项

非标准路径

npx skills add https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/03-fine-tuning/unsloth -g -y

不安装直接使用

npx skills use Orchestra-Research/AI-Research-SKILLs@unsloth

指定 Agent (Claude Code)

npx skills add Orchestra-Research/AI-Research-SKILLs --skill unsloth -a claude-code -g -y

安装 repo 全部 skill

npx skills add Orchestra-Research/AI-Research-SKILLs --all -g -y

预览 repo 内 skill

npx skills add Orchestra-Research/AI-Research-SKILLs --list

SKILL.md

Frontmatter
{
    "name": "unsloth",
    "tags": [
        "Fine-Tuning",
        "Unsloth",
        "Fast Training",
        "LoRA",
        "QLoRA",
        "Memory-Efficient",
        "Optimization",
        "Llama",
        "Mistral",
        "Gemma",
        "Qwen"
    ],
    "author": "Orchestra Research",
    "license": "MIT",
    "version": "1.0.0",
    "description": "Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA\/QLoRA optimization",
    "dependencies": [
        "unsloth",
        "torch",
        "transformers",
        "trl",
        "datasets",
        "peft"
    ]
}

Unsloth Skill

Comprehensive assistance with unsloth development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

  • Working with unsloth
  • Asking about unsloth features or APIs
  • Implementing unsloth solutions
  • Debugging unsloth code
  • Learning unsloth best practices

Quick Reference

Common Patterns

Quick reference patterns will be added as you use the skill.

Reference Files

This skill includes comprehensive documentation in references/:

  • llms-txt.md - Llms-Txt documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

  • Detailed explanations
  • Code examples with language annotations
  • Links to original documentation
  • Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

  • This skill was automatically generated from official documentation
  • Reference files preserve the structure and examples from source docs
  • Code examples include language detection for better syntax highlighting
  • Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information

版本历史

  • 773a529 当前 2026-08-20 11:52

依赖关系

  • required unsloth
  • required torch
  • required transformers
  • required trl
  • required datasets
  • required peft

同 Skill 集合

01-model-architecture/litgpt/SKILL.md
01-model-architecture/mamba/SKILL.md
01-model-architecture/nanogpt/SKILL.md
01-model-architecture/rwkv/SKILL.md
01-model-architecture/torchtitan/SKILL.md
02-tokenization/huggingface-tokenizers/SKILL.md
02-tokenization/sentencepiece/SKILL.md
03-fine-tuning/axolotl/SKILL.md
03-fine-tuning/llama-factory/SKILL.md
03-fine-tuning/peft/SKILL.md
04-mechanistic-interpretability/nnsight/SKILL.md
04-mechanistic-interpretability/pyvene/SKILL.md
04-mechanistic-interpretability/saelens/SKILL.md
04-mechanistic-interpretability/transformer-lens/SKILL.md
05-data-processing/nemo-curator/SKILL.md
05-data-processing/ray-data/SKILL.md
06-post-training/grpo-rl-training/SKILL.md
06-post-training/miles/SKILL.md
06-post-training/openrlhf/SKILL.md
06-post-training/simpo/SKILL.md
06-post-training/slime/SKILL.md
06-post-training/torchforge/SKILL.md
06-post-training/trl-fine-tuning/SKILL.md
06-post-training/verl/SKILL.md
07-safety-alignment/constitutional-ai/SKILL.md
07-safety-alignment/llamaguard/SKILL.md
07-safety-alignment/nemo-guardrails/SKILL.md
07-safety-alignment/prompt-guard/SKILL.md
08-distributed-training/accelerate/SKILL.md
08-distributed-training/deepspeed/SKILL.md
08-distributed-training/megatron-core/SKILL.md
08-distributed-training/pytorch-fsdp2/SKILL.md
08-distributed-training/pytorch-lightning/SKILL.md
08-distributed-training/ray-train/SKILL.md
09-infrastructure/lambda-labs/SKILL.md
09-infrastructure/modal/SKILL.md
09-infrastructure/skypilot/SKILL.md
10-optimization/awq/SKILL.md
10-optimization/bitsandbytes/SKILL.md
10-optimization/flash-attention/SKILL.md
10-optimization/gguf/SKILL.md
10-optimization/gptq/SKILL.md
10-optimization/hqq/SKILL.md
10-optimization/ml-training-recipes/SKILL.md
11-evaluation/bigcode-evaluation-harness/SKILL.md
11-evaluation/lm-evaluation-harness/SKILL.md
12-inference-serving/llama-cpp/SKILL.md
12-inference-serving/sglang/SKILL.md
12-inference-serving/tensorrt-llm/SKILL.md

元信息

文件数
0
版本
773a529
Hash
ac7f1d1f
收录时间
2026-08-20 11:52

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