Model Information
MiniCPM5-2B has the following features:
- Type: Causal Language Model
- Architecture: Standard
LlamaForCausalLM - Number of Parameters: 2,516,756,480
- Number of Non-Embedding Parameters: 1,981,982,720
- Number of Layers: 42
- Number of Attention Heads (GQA): 16 for Q and 2 for KV
- Context Length: 131,072
Limitations and Disclaimer
This model has no autonomous intent or legal personhood; its outputs are text generated from statistical patterns and may be inaccurate, biased, or offensive, and may be manipulated by carefully crafted prompts ("jailbreaks") into producing unintended content. Its responses on sensitive topics such as politics, health, finance, and law are not reviewed by experts and should not be treated as professional advice.
This model is provided "AS IS", without warranty of any kind, express or implied, and the developers are not liable for any damages arising from its use. Users must employ the model only for lawful, compliant, and ethical purposes, configure their own safeguards, and label AI-generated content where required; deliberate jailbreaking, injection attacks, or inducing harmful output is prohibited, and any such testing is at the user's own risk.
License
This repository and MiniCPM model weights are released under the Apache-2.0 License.