gemma_domain_trainer_prototype
OfficialFine-tune Gemma for domain expertise
AuthorFOUNDUPS
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of fine-tuning the Gemma 270M language model on specific domain data, creating specialized AI models that perform better on targeted tasks.
Core Features & Use Cases
- Domain Specialization: Adapts a general-purpose LLM (Gemma) to excel in niche areas like MPS scoring, WSP compliance, or roadmap tracking.
- Efficient Training: Utilizes LoRA (Low-Rank Adaptation) for fast and resource-efficient fine-tuning, keeping the base model intact.
- Use Case: Train a specialized Gemma model to accurately prioritize cleanup tasks based on a custom scoring system, improving autonomous agent efficiency.
Quick Start
Use the gemma_domain_trainer_prototype skill to fine-tune Gemma 270M on MPS scoring data.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 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: gemma_domain_trainer_prototype Download link: https://github.com/FOUNDUPS/Foundups-Agent/archive/main.zip#gemma-domain-trainer-prototype Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.