> [!TIP] > This model is reproducible! > > See the README in the reproduce directory for more information. LFM2.5-350M is a general-purpose text-only model with the following features: — Number of parameters: 350M — Number of layers: 16 (10 double-gated LIV convolution blocks + 6 GQA blocks) — Training budget: 28T tokens — Context length: 32,768 tokens — Vocabulary size: 65,536 — Knowledge cutoff: Mid-2024 — Languages: English, Arabic, Chinese, French, German, Japanese, Korean, Portuguese, Spanish — Generation parameters: — temperature: 0.1 — topk: 50 — repetitionpenalty: 1.05 We It is not recommended for knowledge-intensive tasks and programming. LFM2.5 uses a ChatML-like format. See the Chat Template documentation for details. Example: You can use tokenizer.applychattemplate() to format your messages automatically. 1. Function definition: We recommend providing the list of tools as a JSON object in the system prompt. You can also use the tokenizer.applychattemplate() function with tools. 2. Function call: By default, LFM2.5 writes Pythonic function calls (a Python list between and special tokens), as the…
Модальности:
Генерация текста
Области применения:
Диалог / чат Генерация кода
Задача: Генерация текста
Автор: coder3101
Теги: lfm2, liquid, lfm2.5, edge, heretic, uncensored, decensored, abliterated
Лайков: 3 | Загрузок: 97
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
