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gemma_domain_trainer_prototype

Fine-tune Gemma 270M on domain data with LoRA adapters.

2|Updated Mar 28, 2025
Search Tags:#evaluation#lora#finetuning#ml-ops#gemma#domain-training
One-click install
npx skills add https://github.com/Foundup/Foundups-Agent --skill gemma-domain-trainer-prototype
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemma_domain_trainer_prototype
Source: https://github.com/Foundup/Foundups-Agent/tree/main/.claude/skills/gemma_domain_trainer_prototype
Command: npx skills add https://github.com/Foundup/Foundups-Agent --skill gemma-domain-trainer-prototype

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemma Domain Trainer (Prototype) provides a structured workflow to fine-tune Gemma 270M on domain-specific data using LoRA, enabling rapid creation of domain-specialized models.

Core Features & Use Cases

  • End-to-end orchestration for domain adaptation: data loading, format preparation, LoRA configuration, training, validation, and deployment.
  • Lightweight, reusable wardrobe creation: swap LoRA adapters to tailor Gemma for different domains and tasks.
  • Use cases include rapid domain specialization for MPS scoring, WSP auditing, and roadmap analysis.

Quick Start

Provide a domain-specific training run to fine-tune Gemma on the chosen domain data using LoRA and generate a deployment wardrobe.

Frequently Asked Questions about gemma_domain_trainer_prototype

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fine-tune Gemma on domain-specific data using LoRA?▼

To fine-tune Gemma with LoRA, this skill orchestrates data loading, format conversion, hyperparameter configuration, training, validation, and deployment across multiple domain tasks to create specialized models.

What is a LoRA wardrobe for domain adaptation?▼

A LoRA wardrobe is a collection of lightweight, reusable LoRA adapters that you can swap to tailor Gemma 270M for different domains and tasks like MPS scoring or WSP auditing.

Does the Gemma domain training workflow handle dataset validation?▼

Yes, the workflow enforces a strict step-by-step process that includes dataset validation, training_format_preparation, lora_configured, lora_training_complete, model_validated, and deployment_config_generated.

Can I use this workflow for rapid domain specialization across different tasks?▼

Yes, you can use this end-to-end workflow for rapid domain specialization across tasks including MPS scoring, WSP auditing, and roadmap tracking by swapping LoRA adapters.

What are the limitations of fine-tuning Gemma 270M with LoRA adapters?▼

The prototype focuses on fine-tuning the Gemma 270M model specifically, enforcing a strict workflow with defined inputs, outputs, dependencies, and metrics, which may limit flexibility for custom training loops.

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gemma_domain_trainer_prototype

Fine-tune Gemma 270M models with LoRA adapters on domain-specific datasets.

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