JOSIE-1.1-4B-Instruct is a full-weight fine-tuned instruction-following model built on Qwen3-4B-Instruct, optimized for natural conversational interactions, problem-solving, and everyday assistance with a human-like personality. 1. Reasoning Distillation: Raw reasoning traces from Josie-Zero-8B 2. Response Transformation: Reasoning converted to natural, conversational responses using: — OpenAI GPT-o3-mini-120B for human-like response generation This approach preserves strong reasoning capabilities while delivering outputs in a more natural, engaging, and human-like format. — Training Framework: MLX-LM-LoRA — Hardware: Apple Silicon (M-series chips) — Fine-tuning Method: Full-weight fine-tuning — Total Training Tokens: 1B+ — Training Repository: Custom MLX-LM-LoRA implementation (available on GitHub) The model was fine-tuned with the following system instruction: This system prompt establishes the model’s identity and capability framework while maintaining a natural, approachable communication style. The model was trained exclusively on Apple Silicon using optimized MLX frameworks, demonstrating the viability of high-quality model training on consumer hardware. — Natural…
Модальности:
Генерация текста
Области применения:
Диалог / чат Мультиязычность Следование инструкциям
Задача: Генерация текста
Автор: Goekdeniz-Guelmez
Теги: qwen3, chat, conversational, multilingual, en, es, fr, pt
Лайков: 4 | Загрузок: 112
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
