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InternLM3
Developed by Shanghai AI Lab
Modality: Text generation and reasoning
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Context: 128k tokens, suitable for processing long documents and maintaining context over extended conversations.
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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.
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
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