InternLM 7B is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-06-03, for Foundation model, with 7B parameters, and 2K context length, requiring about 16.8GB storage, with a 53.40 score on C-Eval.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
InternLM 7B currently shows benchmark results led by C-Eval (30 / 48, score 53.40), AGIEval (18 / 28, score 37.60), GSM8K (56 / 70, score 31.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Publisher
Model Overview
InternLM 7B is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-06-03, for Foundation model, with 7B parameters, and 2K context length, requiring about 16.8GB storage, with a 53.40 score on C-Eval.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
