Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.
Key Features
- Comprehensive skill evaluation and performance tracking
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- Easy integration with Claude Code
- Regular updates and maintenance
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Skill Details
GitHub Stars
13
GitHub Forks
0
Created
Jan 2026
Last Updated
7 months ago
tools
tools llm ai
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