InternLM InternLM HOT 💻Github Repo • 🤗Demo • 🤔Reporting Issues • 📜Technical Report 👋 join us on Discord and WeChat Introduction InternLM3 has open sourced an 8 billion parameter instruction model, InternLM3 8B Instruct, designed for general purpose usage and advanced reasoning. This model has the following characteristics: Enhanced performance at reduced cost : State of the art performance on reasoning and knowledge intensive tasks surpass models like Llama3.1 8B and Qwen2.5 7B. Remarkably, InternLM3 is trained on only 4 trillion high quality tokens, saving more than 75% of the training cost compared to other LLMs of similar scale. Deep thinking capability : InternLM3 supports both the deep thinking mode for solving complicated reasoning tasks via the long chain of thought and the normal response mode for fluent user interactions. InternLM3 8B Instruct 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…
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