> [!NOTE] > Includes Unsloth chat template fixes! For llama.cpp, use —jinja > Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. LFM2-2.6B-Exp is an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning. Specifically trained on instruction following, knowledge, and math, it delivers particularly strong performance compared to other 3B models. In particular, its IFBench score surpasses DeepSeek R1-0528, a model 263 times larger. Due to their small size, we recommend fine-tuning LFM2 models on narrow use cases to maximize performance. They are particularly suited for agentic tasks, data extraction, RAG, creative writing, and multi-turn conversations. However, we do not recommend using them for tasks that are knowledge-intensive or require programming skills. Supported languages: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish. Generation parameters: We recommend the following parameters: temperature=0.3 minp=0.15 repetitionpenalty=1.05` Chat template: LFM2 uses a ChatML-like chat template as follows: You can automatically apply it using the dedicated .applychattemplate() function from Hugging Face…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: unsloth
Теги: lfm2, liquid, unsloth, edge, conversational, en, ar, zh
Лайков: 3 | Загрузок: 112
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
