joshuasundance/mypo-4k-rfc
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MyPO models, datasets, training assets, and live dashboard for typed Python preference tuning.
Note Core MyPO DPO dataset: chosen vs rejected Python code quality pairs.
Note Legacy validation comparison subset for the Phi-3 MyPO line.
Note Legacy Phi-3 MyPO adapter experiment.
Note Legacy Phi-3 full/merged MyPO model.
Note Legacy Phi-3 pipeline-export MyPO model used in early comparisons.
Note Training scripts, reports, evaluation artifacts, and durable HumanEval+ pipeline source of truth.
Note Qwen 2.5 Coder SFT LoRA adapter for typed Python generation.
Note Qwen 2.5 Coder DPO v2 LoRA adapter; reproducibility artifact and near-base baseline.
Note Qwen 2.5 Coder DPO v3 merged model; strongest in-domain type-hint preference model in the project.