Any-to-Any
Transformers
Safetensors
multilingual
minicpmo
feature-extraction
minicpm-o
omni
vision
ocr
multi-image
video
custom_code
audio
speech
voice cloning
live Streaming
realtime speech conversation
asr
tts
Instructions to use openbmb/MiniCPM-o-2_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-2_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-2_6", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
int-4 quantized version is missing [link broken]
#10
by pranay-ar - opened
Hi, thank you for the great work. I am not sure if the int4-quantized repo is public yet or if the page doesn't even exist, since the link in this section is broken. Please update accordingly.
Int4 quantized version
Download the int4 quantized version for lower GPU memory (7GB) usage: MiniCPM-o-2_6-int4.
Cuiunbo changed discussion status to closed