---
license: mit
---

## Overview

**DeepSeek** developed and released the **DeepSeek-R1** series, featuring multiple model sizes fine-tuned for high-performance text generation. These models are optimized for dialogue, reasoning, and information-seeking tasks, providing a balance of efficiency and accuracy while maintaining a smaller footprint compared to their original counterparts.

The DeepSeek-R1 models include distilled and full-scale variants of both **Qwen** and **Llama** architectures, catering to various applications such as customer support, conversational AI, research, and enterprise automation.

## Variants

### DeepSeek-R1

| No | Variant                                                                                        | Branch | Cortex CLI command                          |
| -- | ---------------------------------------------------------------------------------------------- | ------- | ------------------------------------------ |
| 1  | [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/cortexso/deepseek-r1/tree/1.5b)         | 1.5b    | `cortex run [WIP]` |
| 2  | [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/cortexso/deepseek-r1/tree/7b)             | 7b      | `cortex run [WIP]`   |
| 3  | [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/cortexso/deepseek-r1/tree/8b)           | 8b      | `cortex run [WIP]`  |
| 4  | [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/cortexso/deepseek-r1/tree/14b)           | 14b     | `cortex run [WIP]`  |
| 5  | [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/cortexso/deepseek-r1/tree/32b)           | 32b     | `cortex run [WIP]`  |
| 6  | [DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/cortexso/deepseek-r1/tree/70b)         | 70b     | `cortex run [WIP]` |

Each branch contains a default quantized version:
- **Qwen-1.5B:** q4-km
- **Qwen-7B:** q4-km
- **Llama-8B:** q4-km
- **Qwen-14B:** q4-km
- **Qwen-32B:** q4-km
- **Llama-70B:** q4-km

## 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 [WIP]
   cortexso/deepseek-r1 [WIP]
   ```

## 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 [WIP]
   ```
   or
   ```bash
   cortex run [WIP]
   ```

## Credits

- **Author:** DeepSeek
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [License](https://huggingface.co/deepseek-ai/DeepSeek-R1#license)
- **Papers:** [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/html/2501.12948v1)