
InternLM2.5
Featuring a more efficient model structure, capable of handling ultra-long texts, tool invocation, data analysis, and other highly complex tasks.
InternLM2.5 is composed of a series of open-source large model matrices, including base models, Supervised-Finetuning (SFT) models, and models optimized by Reinforcement Learning from Human Feedback (RLHF). It covers multiple versions with parameters of 1.8B, 7B and 20B.