model-training-expert
CommunityExpert guidance for AI model training & eval.
Authorscawful
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides end-to-end guidance for configuring, executing, and evaluating AI model training workflows, with emphasis on recursive data generation, MoE management, and tool orchestration to accelerate research and production pipelines.
Core Features & Use Cases
- Hierarchical MoE (H-MoE) setup and adapter strategies using LoRA to enable domain-specific specialization and hot-swapping without reloading base models.
- Synthetic Data Evolution (SDE) workflows from draft generation to verification, correction, and dataset expansion, including teacher-model-based failure analysis.
- Agentic Evaluation (AgE) workflows leveraging Agahnim and HAFS, with sandboxed emulation (Mesen2) and multi-modal ingestion guidance for technical papers to support tooling and experiments.
Quick Start
Provide an end-to-end training objective and initiate a full setup for a 7B LLM using LoRA adapters on Vast.ai.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: model-training-expert Download link: https://github.com/scawful/afs_scawful/archive/main.zip#model-training-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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