Any-to-Any
Transformers
ONNX
Safetensors
minicpmo
feature-extraction
minicpm
compressed-tensors
vllm
quantized
fp8
custom_code
Instructions to use axteam/MiniCPM-o-4_5-FP8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use axteam/MiniCPM-o-4_5-FP8-dynamic with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("axteam/MiniCPM-o-4_5-FP8-dynamic", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
-
Card fixes 2026-11-01: verified corrections, requirements
Verified signaturebcb92bc -
Card: detailed run/usage instructions
Verified signature5b74ffc -
Remove unmeasured evaluation claim (no perplexity/top-1 run exists for this build)
Verified signature43ae43e
3 days ago
-
Add files using upload-large-folder tool
Verified signature1e4d6dd -
Add files using upload-large-folder tool
Verified signaturea776274 -
initial commit
Verified signature46caddf