training-hub
CommunityStreamline end-to-end LLM fine-tuning workflows.
AuthorRobbieJ
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fine-tune LLMs efficiently by using Red Hat's training-hub library, consolidating SFT, LoRA/QLoRA, and OSFT workflows into a single framework.
Core Features & Use Cases
- End-to-end training: dataset prep, hardware configuration, scalable training across single to multi-node clusters, evaluation with lm-eval, and inference serving with vLLM.
- Data validation and memory estimation: validate JSONL data, estimate GPU memory, and recommend hardware configurations.
- Flexible backends and formats: supports SFT, LoRA, OSFT, and multiple model families with pre-tested configurations.
Quick Start
Run a full fine-tuning workflow on your dataset using training-hub.
Dependency Matrix
Required Modules
datasets
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: training-hub Download link: https://github.com/RobbieJ/training-hub-skills/archive/main.zip#training-hub Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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