GitHub - InternLM/InternLM: Official release of InternLM2 7B and 20B base and chat models. 200K context support
🚀 Explore the power of InternLM2! 💡 With 7B & 20B models, it excels in reasoning, coding, chatbots, and more! 🌟 Unleash its potential for data analysis, chat apps, and code interpretation. 🌐 Find out why it outshines GPT-4 in tasks and offers seamless deployment options! #AI #InternLM2
- InternLM2 series offers models in 7B and 20B sizes, with the 20B models being more powerful for complex scenarios.
- InternLM2 models excel in reasoning, math, code interpretation, chat experience, and creative writing.
- InternLM2-Chat models showcase enhanced instruction following, chat experience, and function call capabilities.
- The models support data analysis, chat applications, code interpretation, and stronger tool utilization.
- Performance evaluations show InternLM2-Chat-20B excelling in various tasks, surpassing other models like GPT-4 in certain aspects.
- InternLM models have limitations in generating unexpected outputs despite efforts to ensure ethical and legal compliance.
- Deployment options like LMDeploy and usage guidelines for model interactions are provided for seamless integration.
- The models can be loaded and utilized through Transformers or ModelScope libraries with specific configurations.
- Fine-tuning and evaluation resources are available for users to enhance and assess the models effectively.
- Contributors are encouraged to participate in improving InternLM for academic research and commercial applications.