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DeepSeek-r1-distill-qwen-7B

Run DeepSeek-r1-distill-qwen-7B optimized for Intel NPUs with nexaSDK.

Quickstart

  1. Install nexaSDK and create a free account at sdk.nexa.ai

  2. Activate your device with your access token:

    nexa config set license '<access_token>'
    
  3. Run the model on NPU in one line:

    nexa infer NexaAI/deepSeek-r1-distill-qwen-7B-intel-npu
    

Model Description

deepSeek-r1-distill-qwen-7B is a distilled variant of DeepSeek-R1, built on the Qwen-7B architecture.
It is designed for efficient reasoning and instruction-following while maintaining strong performance across coding, logic, and multilingual tasks. Distillation compresses the capabilities of larger DeepSeek models into a lighter 7B parameter model, making it more practical for edge deployment and resource-constrained environments.

Features

  • Distilled from DeepSeek-R1: Retains core reasoning strengths in a smaller, faster footprint.
  • Instruction-tuned: Optimized for comprehension, logic, and task completion.
  • Multilingual coverage: Handles diverse language inputs with improved efficiency.
  • Compact yet capable: Balances performance with deployability on a wide range of hardware.

Use Cases

  • Conversational AI and instruction-following assistants.
  • Coding support, debugging, and algorithmic reasoning.
  • Multilingual content generation and translation.
  • Lightweight deployment on edge or limited-resource devices.

Inputs and Outputs

Input: Text prompts including natural language queries, instructions, or code snippets.
Output: Direct responses—answers, explanations, code, or translations—without extra reasoning annotations.

License

  • Licensed under Apache-2.0

References

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