Explore my collection of fine-tuned language models and AI experiments. Each model represents a unique approach to solving specific problems in natural language processing.
A 3B-parameter fine-tuned model that generates regular expressions, pattern explanations, and test cases from natural language descriptions, built on Qwen2.5-Coder-3B-Instruct using LoRA.
A 3B-parameter fine-tuned model that generates valid SVG code from natural language descriptions, built using LoRA on Apple MLX framework over three training iterations.
A 3B-parameter fine-tuned model specialized for App Store Optimization, trained on 1,000 curated app description examples using Apple MLX framework on Apple Silicon.
