training-recipes

Complete hyperparameter configurations for LoRA, QLoRA, and full fine-tuning across different model sizes.

Skills
AI research
3

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/training-recipes && curl -fsSL https://doutorai.pt/data/lib/skills__training-recipes.md -o .claude/skills/training-recipes/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Training Recipes

Complete hyperparameter configurations for LoRA, QLoRA, and full fine-tuning across different model sizes.

## Overview

LitGPT provides optimized training configurations in `config_hub/finetune/` for various model architectures and fine-tuning methods.

**Key Configuration Files**:
- `config_hub/finetune/*/lora.yaml` - LoRA fine-tuning
- `config_hub/finetune/*/qlora.yaml` - 4-bit quantized LoRA
- `config_hub/finetune/*/full.yaml` - Full fine-tuning

## LoRA Fine-tuning Recipes

### TinyLlama 1.1B LoRA

**Configuration**:
```yaml
global_batch_size: 8
micro_batch_size: 8
lr_

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