Model Releases
d1-3B and d1-omni from LiquidAI
https://preview.redd.it/owhrvbbiu2uh1.png?width=4096&format=png&auto=webp&s=55d816753e7adee0e1391c9f581052b4bde44da7 d1-omni-600M d1-omni-600M is a 600M parameter decision model built on LFM2.5-Encode
https://preview.redd.it/owhrvbbiu2uh1.png?width=4096&format=png&auto=webp&s=55d816753e7adee0e1391c9f581052b4bde44da7 d1-omni-600M d1-omni-600M is a 600M parameter decision model built on LFM2.5-Encoder-350M. You give it a state (text or JSON, with images or a voice clip) and a set of named questions. It returns typed answers with zero output tokens: every answer is read directly from the model's distribution over the options, with no generation and no parsing. Vision-language: text and images (tiled for large frames, several images per state) in a single forward pass. Audio-language: text and up to 30 s of speech in a single forward pass. Edge-sized: 587M parameters: a 381M shared trunk and decision head, a 94M vision encoder and a 112M audio encoder. Every modality runs the same trunk weights. https://preview.redd.it/f2wkfqcku2uh1.png?width=1200&format=png&auto=webp&s=d30dfb9978a03a5c9ad5831945b294712890e91e d1-3B d1-3B is a 3B parameter decision model built on LFM2.5-VL-3B. You give it a state (text, JSON, images, or a mix) and a set of questions. It returns calibrated, typed answers in one forward pass with zero output tokens. Best decision model under 10B on the Decision Index 0.2.1: 48.57, ahead of every 4B and 9B model and of Decider 35B-A3B (47.11). Multimodal: images and text in the same state. It scores 74.1 on 11 public image benchmarks (LFM2.5-VL-3B: 73.9). Fast: 8 ms a decision on an NVIDIA RTX 4090, 9 ms on an AMD MI325X, 30 ms on an Apple M5 Pro. https://huggingface.co/LiquidAI/d1-3B-GGUF https://huggingface.co/LiquidAI/d1-3B https://huggingface.co/LiquidAI/d1-omni-600M-GGUF https://huggingface.co/LiquidAI/d1-omni-600M https://preview.redd.it/e11c4qlut2uh1.png?width=1932&format=png&auto=webp&s=f948738b173add01821f68f292aedc48577de802 submitted by /u/jacek2023 [link] [comments]
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Source: r/LocalLLaMA | 2026-10-07