Back to models directory
I

InternLM3

Developed by Shanghai AI Lab

Modality: Text generation and reasoning • Context: 128k tokens, suitable for processing long documents and maintaining context over extended conversations. • Open Source (Available on GitHub)

Overview

## Overview
InternLM3 is an open-source 8-billion parameter instruction model from Shanghai AI Lab designed for general-purpose usage and advanced reasoning.

## Key Features
Achieves state-of-the-art performance using only 4 trillion tokens, significantly outperforming models trained on 18 trillion tokens. Features a 128k context window and is part of the larger InternLM ecosystem.

## Use Cases
Advanced reasoning tasks, general-purpose chat, long-document analysis, and code generation.

## Pricing & Access
Open Source (Available on GitHub).

## Context Window & Limits
128k tokens, suitable for processing long documents and maintaining context over extended conversations.

## Who Is It For?
Developers and researchers looking for a high-performance, data-efficient open-source LLM.

## Final Verdict
A strong contender in the open-source space due to its impressive data efficiency and robust reasoning capabilities.

Model Specifications

Provider: Shanghai AI Lab
Modality / Type: Text generation and reasoning
Pricing Model: Open Source (Available on GitHub)
Context Window: 128k tokens, suitable for processing long documents and maintaining context over extended conversations.
Release Date: Jan 15, 2025

Powered AI Tools

Popular AI applications and platforms built on top of or supporting this model.

No directory tools currently linked to this model.