Open Source
Qwen2.5-1M-7|14B
Tech Report HuggingFace ModelScope Qwen Chat HuggingFace Demo ModelScope Demo DISCORD Introduction Two months after upgrading Qwen2.5-Turbo to support context length up to one mi
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We have not reviewed Qwen2.5-1M-7|14B yet
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From the listing
About Qwen2.5-1M-7|14B
Qwen2.5-1M-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M are open-source language models upgraded to handle up to 1 million tokens of context. They are accompanied by an inference framework designed to support this extended context length. The models are released as checkpoints and are available on HuggingFace and ModelScope.
Best for
Developers who need open-source models with very long context capabilities for document processing or code analysis
Use cases
- Analyzing and summarizing very long documents or books
- Processing large codebases for refactoring or debugging
- Handling extended multi-turn conversations with full history
Pros
- Supports up to 1M tokens of context, surpassing many alternatives
- Open-source with community-accessible checkpoints
- Includes dedicated inference framework for efficient long-context usage
Cons
- Large models (7B and 14B) require significant GPU memory for inference
- Long context may lead to slower inference times compared to shorter models
- Relatively new with limited third-party tooling and optimization
Key facts
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Sources
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Changelog
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