Try LFM • Docs • LEAP • Discord LFM2.5 1.2B Base LFM2.5 is a new family of hybrid models designed for on device deployment . It builds on the LFM2 architecture with extended pre training and reinforcement learning. Find more information about LFM2.5 in our blog post. 🗒️ Model Details Model Parameters Description LFM2.5 1.2B Base 1.2B Pre trained base model for fine tuning LFM2.5 1.2B Instruct 1.2B General purpose instruction tuned model LFM2.5 1.2B Thinking 1.2B General purpose reasoning model LFM2.5 1.2B JP 1.2B Japanese optimized chat model LFM2.5 VL 1.6B 1.6B Vision language model with fast inference LFM2.5 Audio 1.5B 1.5B Audio language model for speech and text I/O LFM2.5 1.2B Base is the pre trained text only checkpoint, used to create all the LFM2.5 1.2B variants. It has the following features: Number of parameters : 1.17B 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, Spanish Model Description LFM2.5 1.2B Base Original model checkpoint in native format. Best fo…
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