models deepseek r1 distill qwen 7b qnn npu - Azure/azureml-assets GitHub Wiki

deepseek-r1-distill-qwen-7b-qnn-npu

Overview

This model is an optimized version of DeepSeek-R1-Distill-Qwen-7B to enable local inference on QNN NPUs. This model uses QuaRot and GPTQ quantization.

Model Description

  • Developed by: Microsoft
  • Model type: ONNX
  • License: MIT
  • Model Description: This is a conversion of the DeepSeek-R1-Distill-Qwen-7B for local inference on QNN NPUs.
  • Disclaimer: Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model.

Base Model Information

See Hugging Face model DeepSeek-R1-Distill-Qwen-7B for details.

Version: 2

Tags

capabilities : reasoning supportsReasoning : true reasoningStart : <think> reasoningEnd : </think> contextLength : 4096 minFLVersion : 0.0.0 disable-maap : true

View in Studio: https://ml.azure.com/registries/azureml/models/deepseek-r1-distill-qwen-7b-qnn-npu/version/2

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