quantized_by: bartowski
pipeline_tag: image-text-to-text
base_model: openbmb/MiniCPM-o-2_6
tags:
- minicpm-o
- omni
- vision
- ocr
- multi-image
- video
- custom_code
- audio
- speech
- voice cloning
- live Streaming
- realtime speech conversation
- asr
- tts
datasets:
- openbmb/RLAIF-V-Dataset
language:
- multilingual
💫 Community Model> MiniCPM o 2_6 by Openbmb
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Model creator: openbmb
Original model: MiniCPM-o-2_6
GGUF quantization: provided by bartowski based on llama.cpp release b4585
Technical Details
Supports images of any aspect ratio up to 1.8 million pixels (e.g. 1344x1344)
End to end omni modal
See more in their technical report (here)[https://openbmb.notion.site/MiniCPM-o-2-6-A-GPT-4o-Level-MLLM-for-Vision-Speech-and-Multimodal-Live-Streaming-on-Your-Phone-185ede1b7a558042b5d5e45e6b237da9]
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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