unsloth

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

fine-tuningperformance-optimizationmemory-efficiencylora

ovachiever

81

implementing-llms-litgpt

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

large-language-modelslightning-ailoralqora

ovachiever

81

fine-tuning

LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.

fine-tuningloraq-lorainstruction-tuning

pluginagentmarketplace

1

qlora

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.

large-language-modelsquantizationlorafine-tuning

itsmostafa

10

mlx

Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.

apple-siliconmacoshuggingfacelora

itsmostafa

10