> BRB
./how-its-built
./playground~/./download
OverviewResources
00Why?01Problem & Vision02Data Foundation03Ingestion Pipeline04Vector Search & RAG05Casper Agent06Training Pipeline07Inference System08Desktop Architecture09Privacy & Ethics
./how-its-built/training-pipeline
[06]

Training Pipeline - LoRA & MLX

Local LoRA fine-tuning on Apple Silicon using MLX for personalized language models.

On this page
LoRA ExplainedWhy Not Full Fine-tuning?Low-Rank AdaptersMemory & Time SavingsMLX on Apple SiliconWhy MLX?Metal AccelerationMemory-Efficient TrainingTraining Data PreparationJSONL FormatConversation SamplingSystem Prompt GenerationModel SelectionQwen3-4B (Production)TinyLlama (Debugging)Trade-offs & RecommendationsHyperparameter TuningLearning RateLoRA Rank & AlphaBatch Size Considerations
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