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Liquid AI Releases LFM2.5-8B-A1B Hybrid Model for On-Device Deployment

16d ago· 8 min readen

Summary

Liquid AI has released LFM2.5-8B-A1B, a new hybrid AI model family designed for on-device deployment. The model builds on the LFM2 architecture with extended pre-training and reinforcement learning. A tokenizer update was released to fix tool-calling issues in llama.cpp, and users who downloaded before a specific commit need to re-download tokenizer files and GGUF files. The model is part of Liquid AI's mission to advance and democratize artificial intelligence through open source and open science.

Source

bskyLiquid AI Releases LFM2.5-8B-A1B Hybrid Model for On-Device Deploymenthuggingface.co

Key quotes

· 3 pulled
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.
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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