AI正在发生 未来正在更新d1-Omni-2B-GGUF
d1-Omni-2B is a decision model for text, pictures, and audio, built on LFM3-Omni-2B. It returns calibrated answers in one forward pass, without generating tokens. llama.cpp answers `noul`, `choice` and `score` questions over a state (text or JSON), pictures, a video, audio clips, and questions written or spoken. Videos are read as their frames, and video input needs `ffmpeg` in `PATH`. Multiple choice (`"multiple": true`), extraction, estimates and boxes are not supported yet. A question is read in one batch, so `-b` and `-ub` must hold its state and media. A picture takes at most half of `-ub`: 8192 keeps the full budget of 4096 tokens per picture, smaller values lower it.
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d1-Omni-2B is a decision model for text, pictures, and audio, built on LFM3-Omni-2B. It returns calibrated answers in one forward pass, without generating tokens. llama.cpp answers `noul`, `choice` and `score` questions over a state (text or JSON), pictures, a video, audio clips, and questions written or spoken. Videos are read as their frames, and video input needs `ffmpeg` in `PATH`. Multiple choice (`"multiple": true`), extraction, estimates and boxes are not supported yet. A question is read in one batch, so `-b` and `-ub` must hold its state and media. A picture takes at most half of `-ub`: 8192 keeps the full budget of 4096 tokens per picture, smaller values lower it.