InternLM2.5-7B-Chat-1M is a chat model that excels in reasoning and long-context tasks with strong tool use.
InternLM2.5-7B-Chat-1M is a conversational AI model developed by Hugging Face, featuring a 7 billion parameter framework tailored for practical scenarios. It excels in math reasoning and can handle contexts up to 1 million tokens, making it ideal for tasks requiring long-context understanding. The model is adept at complex tool usage, efficiently gathering and analyzing information from numerous web pages for thorough analysis and inference.
This model is suitable for creating sophisticated AI agents capable of detailed conversations and reliable multi-turn tool interactions. Its ability to understand and generate long-form content makes it valuable for customer service, virtual assistance, research, and other domains benefiting from deep natural language comprehension and generation. InternLM2.5-7B-Chat-1M offers robust performance for complex tasks, enhancing productivity and user experience across various applications.
- Demonstrates state-of-the-art performance in math reasoning.
- Accurately locates key information in 1M token documents.
- Supports gathering information from over 100 web pages.
- Enables long-context inference with LMDeploy.
- Facilitates building complex AI agents with reliable tool use.
No video tutorial available for this AI tool yet.
We're working on adding video tutorials for this tool.
