InternLM 7B

InternLM 7B is a state-of-the-art large language model with 7 billion parameters, developed by the Shanghai Artificial Intelligence Laboratory. It is built on the robust transformer architecture, enabling it to process long input sequences and perform complex reasoning tasks effectively. Trained on trillions of high-quality tokens from diverse sources, InternLM 7B maintains a strong knowledge base. It supports an 8k context window and offers customizable tools for user-specific applications. Rigorous evaluations demonstrate its superior performance across key competence areas, outperforming models such as LLaMA-7B and Baichuan-7B on benchmarks like MMLU and GSM8K. However, it shares typical LLM limitations, such as potential biases and domain-specific knowledge gaps, necessitating careful usage.

InternLM 7B is a model in the InternLM family. The structured metadata tracks a 4k-token context window. This page tracks provider routes through Bitdeer AI, with the cheapest tracked route listed at $0.14 input and $0.42 output per 1M tokens. No headline benchmark score is tracked for InternLM 7B yet.