AI_ENGINEERING2 Multi-file Components
LoRA & QLoRA LLM Fine-Tuning with Unsloth
Fine-tune custom open-weights models for specialized coding syntax, company docs, or customer support tasks.
Author: TRIHEX Architecture Lab
•License: MIT
•Version: 2.1.0
Inert Code Verified · Heuristic Static Security ScannerHeuristic Scanner: LOW Risk
Heuristic static security scanner audited 2 files (2520 bytes). External code. Review before execution.
v2.1.0
Skill Files (2)
Compatible Runtimes
AntigravityClaude CodeCursor
SKILL.md·markdown
# LoRA & QLoRA LLM Fine-Tuning with Unsloth 5x faster fine-tuning with 80% less VRAM using Unsloth. Dataset preparation, training hyperparameters, and GGUF export. ## Core Invariants & Rules 1. Use 4-bit QLoRA with rank 16 and alpha 16 to fine-tune on a single consumer RTX 3090/4090 GPU. 2. Verify input validation and security boundaries on all executions. 3. Keep configurations modular, typed, and auditable. ## Operational Workflow 1. Analyze requirements against existing codebase patterns. 2. Apply standardized implementation templates. 3. Execute verification suites before deployment.