https://unitedstatesofamericasuperintelligence.com/companies/liquid-ai/ Dated, sourced news items in the USASI catalog that mention Liquid AI. Independent project. Not a United States government website. en-us Thu, 15 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-24b-a2b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-24b-a2b/ Thu, 15 Oct 2026 12:00:00 GMT release Liquid AI announced LFM2.5-24B-A2B on October 13, 2026, describing it as a reasoning model built for fast, private agents on-device and as the largest and final model in the LFM2.5 family. The release includes a base model (LFM2.5-24B-A2B-Base) and a post-trained model (LFM2.5-24B-A2B), published as open weights on Hugging Face. The model card lists 24.0B total parameters with 2.45B active per token and a context length of 131,072 tokens, and says the model is not recommended for knowledge-heavy tasks on its own. The weights are released under the LFM Open License v1.0. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-open-d1-decision-models/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-open-d1-decision-models/ Thu, 08 Oct 2026 12:00:00 GMT release On October 7, 2026 Liquid AI announced "Open d1", two open-weight decision models that return an answer in a single forward pass instead of generating text. The announcement and model cards describe d1-3B, built on LFM2.5-VL-3B, which takes text and images, and d1-omni-600M, built on LFM2.5-Encoder-350M, which takes text with images or text with up to 30 seconds of speech. The weights are published on Hugging Face, and the announcement says the models have day-one support in llama.cpp. Both model cards give the license as "other" with the name lfm1.0, pointing to a LICENSE file in each repository; the announcement itself does not name a license. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b-dspark/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b-dspark/ Thu, 01 Oct 2026 12:00:00 GMT release Liquid AI announced LFM2.5-VL-3B-DSpark on September 24, 2026. It is an experimental draft model of about 280 million parameters that speeds up text generation by its LFM2.5-VL-3B vision-language model through speculative decoding; Liquid AI says the target model's output is unchanged. The weights are on Hugging Face in Safetensors and GGUF formats, with support in SGLang, MLX-VLM, and llama.cpp. They are released under the LFM Open License v1.0, the same license as other LFM2.5 releases, which limits commercial use by larger companies through an annual-revenue threshold. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b/ Tue, 13 Oct 2026 12:00:00 GMT release Liquid AI announced LFM2.5-VL-3B on August 12, 2026, a non-reasoning vision-language model that it says answers directly to keep latency low for real-time and on-device applications. The model card says it uses the LFM2.5-2.6B language model as its backbone with a SigLIP2 NaFlex vision encoder, and lists a context length of 32,768 tokens. Weights are on Hugging Face with GGUF, ONNX, and MLX exports, under the LFM Open License v1.0. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-2-6b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-2-6b/ Tue, 13 Oct 2026 12:00:00 GMT release Liquid AI announced LFM2.5-2.6B on August 4, 2026, describing it as a 2.6B-parameter model trained for agentic workloads such as planning, calling tools, and multi-step tasks on devices including phones and CPUs. The base model (LFM2.5-2.6B-Base) and the post-trained model (LFM2.5-2.6B) were published on Hugging Face. The model card lists a context length of 131,072 tokens and says the model is not recommended for agentic coding and knowledge-heavy tasks. The weights are released under the LFM Open License v1.0. USASI has not tested this model.