Llama-Thinker-3B-Preview2 is a pretrained and instruction-tuned generative model designed for multilingual applications. These models are trained using synthetic datasets based on long chains of thought, enabling them to perform complex reasoning tasks effectively. Model Architecture: [ Based on Llama 3.2 ] is an autoregressive language model that uses an optimized transformer architecture. The tuned versions undergo supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. Starting with transformers >= 4.43.0 onward, you can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function. Make sure to update your transformers installation via pip install —upgrade transformers. To download Original checkpoints, see the example command below leveraging huggingface-cli: Here’s a version tailored for the Llama-Thinker-3B-Preview2-GGUF model: The Llama-Thinker-3B-Preview2 model is a pretrained and instruction-tuned LLM, designed for complex reasoning tasks across multiple languages. In this guide, we’ll interact with it locally…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: prithivMLmods
Теги: llama, deep_think, reasoning, chain_of_thought, chain_of_thinking, prev_2, self_reasoning, conversational
Лайков: 3 | Загрузок: 18
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
