An MLX LoRA adapter for generating and repairing DAX expressions. The adapter was trained and evaluated with mlx-community/gpt-oss-20b-MXFP4-Q8. Its upstream base model is openai/gpt-oss-20b. It is not a merged model and does not include base-model weights. adapters.safetensors is the final step-300 adapter. Its SHA-256 is: adapterconfig.json contains the MLX runtime parameters needed to load the adapter. adaptermanifest.json records portable training provenance. The local MLX training config is intentionally excluded because it contains machine-specific absolute paths. Both variants use the same MLX gpt-oss-20b-MXFP4-Q8 base model and consistent generation settings with an 8192-token output cap. In the saved comparison outputs, both variants emitted final-answer channels for every evaluated prompt. The independent-evaluation answer match is a normalized text-similarity heuristic, and the metadata-reference check is a regex-based screen for undeclared model references. DAXBench answer match uses exact or approved alternative answers; static DAX validation is parser/analyzer validation, not Power BI execution. Scores are indicative rather than a guarantee of correctness for every…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: maxanatsko
Теги: mlx, lora, dax
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
