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license: mit |
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## Overview |
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**DeepSeek** developed and released the [DeepSeek R1 Distill Qwen 7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) model, a distilled version of the Qwen 7B language model. This version is fine-tuned for high-performance text generation and optimized for dialogue and information-seeking tasks, providing even greater capabilities with its larger size compared to the 7B variant. |
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The model is designed for applications in customer support, conversational AI, and research, focusing on delivering accurate, helpful, and safe outputs while maintaining efficiency. |
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## Variants |
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| No | Variant | Cortex CLI command | |
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| --- | --- | --- | |
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| 1 | [gguf](https://huggingface.co/cortexso/deepseek-r1-distill-qwen-7b/tree/main) | `cortex run deepseek-r1-distill-qwen-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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```text |
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cortexso/deepseek-r1-distill-qwen-7b |
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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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```bash |
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cortex run deepseek-r1-distill-qwen-7b |
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``` |
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## Credits |
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- **Author:** DeepSeek |
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- **Converter:** [Homebrew](https://www.homebrew.ltd/) |
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- **Original License:** [License](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B#7-license) |
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- **Papers:** [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/html/2501.12948v1) |
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