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#lfm

@maximelabonne: Trust me, that's A LOT of tokens

X AI KOLs Following · 2026-07-09 Cached

Liquid AI celebrates processing 1 billion requests on Shopify’s platform, highlighting a milestone in their multi-year partnership.

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#lfm

@maximelabonne: New training technique to reduce doom loops! We applied it to LFM2.5-2.6B (SFT checkpoint) Qwen3.5-4B. By reducing doom…

X AI KOLs Following · 2026-07-07 Cached

Liquid AI releases Antidoom, an open-source method to reduce doom loops in reasoning models, applied to LFM2.5-2.6B and Qwen3.5-4B, significantly lowering doom-loop rates and improving eval scores.

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#lfm

fine-tuned LiquidAI’s LFM2.5-230M on Fable-5 coding traces - its better than I expected it to be

Reddit r/LocalLLaMA · 2026-06-27

Fine-tuned LiquidAI's LFM2.5-230M model on Fable-5 coding traces, finding the results better than expected.

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#lfm

@victormustar: 300tok/s on mobile is insane... open source must win

X AI KOLs Following · 2026-06-26 Cached

Open source AI inference reaches 300 tok/s on mobile, with a WebGPU framework pushing Liquid AI's LFM2.5 230M to 1,400 tok/s in browser.

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#lfm

When you don't have a data center GPU

Reddit r/LocalLLaMA · 2026-06-26 Cached

LiquidAI releases LFM2.5-230M, a 230M parameter language model designed to run on limited hardware, with support for transformers, vLLM, and SGLang.

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