Create README.md

README.md

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+---
+license: mit
+---
+## Overview
+
+**WhisperVQ** developed and released the [DeepSeek R1 Distill Qwen 1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) model, a distilled version of the Qwen 1.5B language model. It is fine-tuned for high-performance text generation and optimized for dialogue and information-seeking tasks. This model achieves a balance of efficiency and accuracy while maintaining a smaller footprint compared to the original Qwen 1.5B.
+
+The model is designed for applications in customer support, conversational AI, and research, prioritizing both helpfulness and safety.
+
+## Variants
+
+| No | Variant | Cortex CLI command |
+| --- | --- | --- |
+| 1 | [gguf](https://huggingface.co/cortexso/deepseek-r1-distill-qwen-1.5b/tree/main) | `cortex run deepseek-r1-distill-qwen-1.5b` |
+
+
+## Use it with Jan (UI)
+
+1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
+2. Use in Jan model Hub:
+    ```text
+    cortexso/deepseek-r1-distill-qwen-1.5b
+    ```
+## Use it with Cortex (CLI)
+
+1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
+2. Run the model with command:
+    ```bash
+    cortex run deepseek-r1-distill-qwen-1.5b
+    ```
+## Credits
+
+- **Author:** DeepSeek
+- **Converter:** [Homebrew](https://www.homebrew.ltd/)
+- **Original License:** [License](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B#7-license)
+- **Papers:** [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/html/2501.12948v1)