A fine-tuned version of Llama 3.2 1B Instruct specialized for generating structured JSON outputs with high accuracy and schema compliance. This model has been fine-tuned to excel at generating valid, well-structured JSON objects based on Pydantic model schemas. It transforms natural language prompts into properly formatted JSON responses with remarkable consistency. 🚀 Dramatic Improvement in JSON Generation: — JSON Validity Rate: 20% → 92% (over 70% improvement) — Schema Compliance: Near-perfect adherence to small-average size Pydantic model structures — Generalization: Successfully handles completely new, unseen Pydantic model classes — Base Model: meta-llama/Llama-3.2-1B-Instruct — Fine-tuning Method: LoRA (Low-Rank Adaptation) with Unsloth — Training Data: Synthetic dataset with 15+ diverse Pydantic model types — Training Epochs: 15 —
Модальности:
Генерация текста
Области применения:
Диалог / чат Математика
Задача: Генерация текста
Автор: MathBite
Теги: unsloth, trl, sft, json, structured-output, fine-tuned, llama, pydantic
Лайков: 3 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
