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Liquid AI reveals 8B-A1B MoE trained on 38T

Hacker News Top · 5d ago Cached

Liquid AI released LFM2.5-8B-A1B, an edge MoE model trained on 38T tokens with a 128K context window, improved tool calling, and reasoning capabilities, available on Hugging Face.

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Liquid AI releases LFM2.5-8B-A1B

Reddit r/LocalLLaMA · 6d ago

Liquid AI released LFM2.5-8B-A1B, an edge model with a 128K context window, 38T tokens of pre-training, and large-scale reinforcement learning, capable of tool calling and complex tasks while fitting on an entry-level laptop.

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@abidlabs: Remarkable for an 8B model! Check out the @Gradio app here: https://huggingface.co/spaces/LiquidAI/LFM2.5-8B-A1B…

X AI KOLs Following · 6d ago Cached

Liquid AI releases LFM2.5-8B-A1B, an 8B MoE model with 1.5B active parameters and 128K context, optimized for edge devices.

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@LottoLabs: A very cool model for the GPU poor bros Trained on an ungodly amount of tokens for a 8b a1b model Gonna be super fast e…

X AI KOLs Timeline · 6d ago Cached

LottoLabs announces LiquidAI's LFM2.5-8B-A1B-GGUF model, an 8B parameter model trained on a massive token count and optimized for fast inference on limited GPU hardware, with support for llama.cpp, Ollama, vLLM, and more.

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LiquidAI/LFM2.5-8B-A1B-GGUF

Hugging Face Models Trending · 2026-05-24 Cached

LiquidAI releases a GGUF quantized version of their LFM2.5-8B-A1B model, with instructions for use across multiple inference engines.

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@paulabartabajo_: The next AI boom won't be bigger data centers. It'll be compact intelligence running on the edge. You (and the planet) …

X AI KOLs Timeline · 2026-05-19 Cached

A tweet argues the next AI boom will be compact intelligence on edge devices rather than larger data centers, with Liquid AI supporting the vision of running AI on phones, cars, and everyday devices.

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