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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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tags: |
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- cortex.cpp |
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--- |
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## Overview |
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Qwen2.5 by Qwen is a family of model include various specialized models for coding and mathematics available in multiple sizes from 0.5B to 72B parameters |
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## Variants |
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| No | Variant | Cortex CLI command | |
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| --- | --- | --- | |
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| 1 | [Qwen-2.5-0.5b](https://huggingface.co/cortexso/qwen2.5/tree/0.5b) | `cortex run qwen2.5:0.5b` | |
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| 2 | [Qwen-2.5-1.5b](https://huggingface.co/cortexso/qwen2.5/tree/1.5b) | `cortex run qwen2.5:1.5b` | |
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| 3 | [Qwen-2.5-3b](https://huggingface.co/cortexso/qwen2.5/tree/3b) | `cortex run qwen2.5:3b` | |
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| 4 | [Qwen-2.5-7b](https://huggingface.co/cortexso/qwen2.5/tree/7b) | `cortex run qwen2.5:7b` | |
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| 5 | [Qwen-2.5-14b](https://huggingface.co/cortexso/qwen2.5/tree/14b) | `cortex run qwen2.5:14b` | |
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| 6 | [Qwen-2.5-32b](https://huggingface.co/cortexso/qwen2.5/tree/32b) | `cortex run qwen2.5:32b` | |
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| 7 | [Qwen-2.5-72b](https://huggingface.co/cortexso/qwen2.5/tree/72b) | `cortex run qwen2.5:72b` | |
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| 8 | [Qwen-2.5-coder-1.5b](https://huggingface.co/cortexso/qwen2.5/tree/coder-1.5b) | `cortex run qwen2.5:coder-1.5b` | |
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| 9 | [Qwen-2.5-coder-7b](https://huggingface.co/cortexso/qwen2.5/tree/coder-7b) | `cortex run qwen2.5:coder-7b` | |
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| 10 | [Qwen-2.5-math-1.5b](https://huggingface.co/cortexso/qwen2.5/tree/math-1.5b) | `cortex run qwen2.5:math-1.5b` | |
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| 11 | [Qwen-2.5-math-7b](https://huggingface.co/cortexso/qwen2.5/tree/math-7b) | `cortex run qwen2.5:math-7b` | |
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## Use it with Jan (UI) |
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart) |
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2. Use in Jan model Hub: |
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``` |
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cortexso/qwen2.5 |
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``` |
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## Use it with Cortex (CLI) |
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart) |
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2. Run the model with command: |
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``` |
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cortex run qwen2.5 |
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``` |
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## Credits |
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- **Author:** Qwen |
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- **Converter:** [Homebrew](https://www.homebrew.ltd/) |
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- **Original License:** [License Apache 2.0](https://choosealicense.com/licenses/apache-2.0/) |
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- **Papers:** [Qwen2.5 Blog](https://qwenlm.github.io/blog/qwen2.5/) |
