litert-community/LFM2-2.6B-Exp

AI model by litert-community

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LiquidAI/LFM2-2.6B-Exp converted to the LiteRT-LM (.litertlm) format for Google's LiteRT-LM runtime. Tested on litert-lm 0.18.0 on a Mac; the phone rows ran the prebuilt Android binary named below. On litert-lm 0.17.1 the int8 file answered "What is the capital of France?" as if no question had been asked (one CPU run; the int4 file was not tried on 0.17.1). Liquid AI describes LFM2-2.6B-Exp as an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning, trained on instruction following, knowledge and math, and suggests the LFM2 models for agentic tasks, data extraction, RAG, creative writing and multi-turn conversations rather than knowledge-intensive tasks or programming. Config, tokenizer and chat template match LFM2-2.6B's: 2,569,272,320 parameters in 30 layers (22 convolution + 8 attention), tied embeddings, a 65,536-token vocabulary, a 32,768-token context (4096 here); English, Arabic, Chinese, French, German, Japanese, Korean and Spanish. Liquid AI's card says nothing about reasoning, yet in the runs…

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Model overview

litert-community/LFM2-2.6B-Exp is a task-unspecified model repository published by litert-community on Hugging Face. A library was not reported.

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Task: Not reported
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Recent downloads (30 days): 0
Cumulative likes: 0
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Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
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Created: 2026-10-13T06:30:48.000Z
Last modified: 2026-10-13T06:30:48.000Z

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