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openbmb
/
MiniCPM-o-4_5

Any-to-Any
Transformers
ONNX
Safetensors
minicpmo
feature-extraction
minicpm-o
minicpm-v
multimodal
full-duplex
custom_code
Model card Files Files and versions
xet
Community
15

Instructions to use openbmb/MiniCPM-o-4_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use openbmb/MiniCPM-o-4_5 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TTS cutoff issue

2
#17 opened about 2 months ago by
mavaxel

good

#15 opened 2 months ago by
vandetta23

Seems like `chat(stream=True)` is broken — requires `do_sample=True` + `num_beams=1`, then crashes with `AttributeError: 'dict' object has no attribute 'sequences'`

3
#13 opened 3 months ago by
Volotat

my discussion

1
#10 opened 3 months ago by
0xwumade

tuning

#6 opened 3 months ago by
DannySc

inquery for code to evaluate on LiveCC

1
#4 opened 3 months ago by
LeeLi4704

The effect is quite good

👍 3
4
#3 opened 3 months ago by
JiaaiJ
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