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+ ---
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+ license: mit
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+ ---
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+
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+ ## Overview
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+
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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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+
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+ ## Variants
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+
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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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+
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+ ## Use it with Jan (UI)
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+
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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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+
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+ ## Use it with Cortex (CLI)
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+
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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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+
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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)