OpenBMB's MiniCPM-OCR 1.0 Targets Document Parsing
A compact vision-language model built to read tables, formulas, and complex page layouts arrives on Hugging Face.
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A compact vision-language model built to read tables, formulas, and complex page layouts arrives on Hugging Face.
The new 35B-parameter vision-language model activates just 3B parameters per pass, aiming for efficiency without sacrificing capability.
OpenBMB's latest multimodal release activates just 3B parameters per token, aiming to keep capable image understanding local.
The compact 2-billion-parameter model adds long-context handling and tool-calling in a footprint small enough to run locally.
A new open encoder aims to make document retrieval faster by treating text and images natively in one model.
The compact 1B-parameter model brings long-context handling and tool-calling to phones and laptops.
The team behind GLiNER releases an open-source small language model aimed at making safety moderation cheaper and quicker to run.
Cactus Compute distilled Gemini's tool-calling behavior into a tiny model meant to run locally.
The new open-source vision-language model is designed for high-resolution image understanding on mobile and edge devices.
The new diffusion-based model from the OpenBMB research group supports multilingual speech, emotional control, and zero-shot voice cloning.
The new MiniCPM-o 4.5 model from the open-source research group can process and generate interleaved combinations of images, text, and audio.
The new model from OpenBMB supports mixed-modality inputs and outputs, from text and images to audio and video, in a single efficient package.
The new 500-million-parameter text-to-speech model from OpenBMB supports both English and Chinese and can replicate a voice from a short audio sample.
The new 500-million-parameter model offers high-quality text-to-speech and zero-shot voice cloning under a permissive license.
The new vision-language model from the open-source research group demonstrates strong OCR and video understanding capabilities in a small package.