InternLM InternLM HOT 💻Github Repo • 🤔Reporting Issues Introduction InternLM has open sourced a 7 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics: It leverages trillions of high quality tokens for training to establish a powerful knowledge base. It supports an 8k context window length, enabling longer input sequences and stronger reasoning capabilities. It provides a versatile toolset for users to flexibly build their own workflows. InternLM 7B Performance Evaluation We conducted a comprehensive evaluation of InternLM using the open source evaluation tool OpenCompass. The evaluation covered five dimensions of capabilities: disciplinary competence, language competence, knowledge competence, inference competence, and comprehension competence. Here are some of the evaluation results, and you can visit the OpenCompass leaderboard for more evaluation results. Datasets\Models InternLM Chat 7B InternLM 7B LLaMA 7B Baichuan 7B ChatGLM2 6B Alpaca 7B Vicuna 7B C Eval(Val) 53.2 53.4 24.2 42.7 50.9 28.9 31.2 MMLU 50.8 51.0 35.2 41.5 46.0 39.7 47.3 AGIEval 42.5 37.6 20.8 24.6 39.0 24.1 26.4 CommonSenseQA…
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