InternLM
Open-source foundation model series from Shanghai AI Lab with strong reasoning, coding, math, and bilingual Chinese-English capabilities
Free open-weight models on Hugging Face; API access via Shanghai AI Lab and partners
Overview
InternLM is an open-source large language model family developed by Shanghai AI Laboratory (Shanghai AILab). The InternLM2 and InternLM3 series are competitive with leading open-source models on Chinese and English benchmarks, with particular strengths in long-context reasoning, code, and math tasks.
Key Features
- Open weights with permissive commercial license
- InternLM3: strong performance on reasoning, code, and multilingual tasks
- Extended context windows up to 200K tokens
- InternVL: vision-language models for image and video understanding
- InternLM-Math: specialized mathematical reasoning capabilities
- Optimized for efficient inference with quantized variants
Pricing: Free and open-source; available on Hugging Face and via Shanghai AILab's InternStudio cloud.
Pros
- Strong cross-domain performance: reasoning, coding, math, and bilingual understanding
- Open-weight with Apache 2.0 license — commercial use permitted
- Active research group releasing regular improvements and specialized variants
- Rich ecosystem including InternVL multimodal and InternLM-Math
Cons
- Less mainstream adoption outside of China and research communities
- Fewer integrations and tooling compared to the Llama ecosystem
- Documentation and community resources primarily in Chinese
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