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InternLM keeps open-sourcing high quality LLMs as well as
a full-stack toolchain for development and application.

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We released InternLM3, which 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.

Documentation

Get Started

• Web Chat
• Local Chat
• InternLM API

Inference

• HuggingFace Transformers 😊
• Chat Format

Run Locally

• ollama
• llama.cpp
• llamafile
• mlx
• TGI

Deployment

• LMDeploy
• vLLM inference
• SGLang inference

Training

• XTuner
• InternEvo
• Third-Party Training

Application

• Multi-Chats by OpenAOE
• LangChain
• LazyLLM
• LlamaIndex
• open-webui

Agent

• Lagent

Long Context

• InternLM with Long Context

Model Card

• InternLM3
• InternLM2.5
• InternLM2
• InternLM

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