cyankiwi/LFM2.5-8B-A1B-AWQ-INT4 - Каталог нейросетей
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cyankiwi/LFM2.5-8B-A1B-AWQ-INT4

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cyankiwi/LFM2.5-8B-A1B-AWQ-INT4

Website cyan.kiwi Models Hugging Face · ModelScope Connect X · Reddit · Email Version cyankiwi 26.05.01 Calibration STEM and Agentic Model Size 5.37 GB LFM2.5-8B-A1B is a general-purpose text-only model with the following features: — Total parameters: 8.3B — Active parameters: 1.5B — Number of layers: 24 (18 double-gated conv + 6 GQA) — Training budget: 38 trillion tokens — Context length: 128,000 — Vocabulary size: 128,000 — Languages: English, Arabic, Chinese, Frenc It is not the best fit for heavy programming or knowledge-intensive question answering without retrieval. LFM2.5 uses a ChatML-like format. See the Chat Template documentation for details. Example: Because LFM2.5-8B-A1B is a reasoning model, assistant turns contain an explicit chain of thought before the final answer. You can use tokenizer.applychattemplate() to format your…

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Задача: Генерация текста
Автор: cyankiwi
Теги: lfm2_moe, liquid, lfm2.5, edge, conversational, en, ar, zh
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