LFM2.5-230M
PulseAugur coverage of LFM2.5-230M — every cluster mentioning LFM2.5-230M across labs, papers, and developer communities, ranked by signal.
- 2026-06-28 product_launch Liquid AI released its smallest model to date, LFM2.5-230M, designed for on-device inference on edge hardware. source
- 2026-06-28 product_launch Liquid AI released its smallest model to date, LFM2.5-230M, designed for on-device inference. source
- 2026-06-24 product_launch LiquidAI has released the LFM2.5-230M language model, optimized for on-device deployment and agentic tasks. source
1 day(s) with sentiment data
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Cactus releases 14MB agentic LLM, Needle 2, for edge devices
Cactus has released Needle 2, a 14MB agentic LLM designed for resource-constrained devices like phones, wearables, and robots. This compact model operates with 28MB of RAM and achieves impressive speeds, running at 500 …
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Liquid AI releases smallest on-device model, LFM2.5-230M
Liquid AI has launched LFM2.5-230M, their most compact model yet. This open-weight model, with 230 million parameters, is designed for on-device operation on edge hardware. It achieves speeds of 213 tokens/s on a Samsun…
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Liquid AI ships tiny LFM2.5-230M for on-device agent tasks
Liquid AI has released LFM2.5-230M, its smallest model to date, designed for on-device inference on edge hardware like phones and robots. This 230-million-parameter model excels at data extraction and tool use, outperfo…
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OpenAI internal AI usage surges; new open models and agent capabilities emerge
OpenAI has reported a significant increase in internal AI model usage across various departments, with median output tokens for Codex growing by as much as 56x in Research since November 2025. This surge in token consum…
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230M LFM2.5 model runs in-browser at 1,400 tokens/sec
A 230 million parameter model, LFM2.5, is now capable of running in a web browser at a speed of 1,400 tokens per second. This performance is achieved through custom WebGPU kernels, developed by individuals previously as…
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LiquidAI releases compact LFM2.5-230M for on-device AI tasks
LiquidAI has released LFM2.5-230M, a compact language model designed for on-device deployment. This model boasts 230 million parameters and is optimized for efficient inference on various hardware, including CPUs and ed…