Loading...
Loading...
Open-source MiniCPM5-2B-ONNX model from rasmus — available for download and self-hosting on Hugging Face.
Best for
Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('rasmus/MiniCPM5-2B-ONNX'); model = AutoModelForCausalLM.from_pretrained('rasmus/MiniCPM5-2B-ONNX'); print('Loaded rasmus/MiniCPM5-2B-ONNX')"Presumptive Specs:
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Not enough historical data yet. Check back after the next pricing sync.
Provider
Learn how to use MiniCPM5-2B-ONNX
💡 Tip: Start with the sample prompts above to see how MiniCPM5-2B-ONNX works best.
Proven prompts shared by the community for this model