models qwen3.8 27b - Azure/azureml-assets GitHub Wiki

qwen3.8-27b

Overview

This model is an optimized version of Qwen3.8-27B for local text inference on CUDA GPUs. The optimized model is published in ONNX format using RTN quantization.

ONNX Models

Here are some of the optimized configurations we have added:

  1. ONNX model for CUDA GPU using RTN quantization with DFlash2 speculative decoding.

Model Description

  • Developed by: Microsoft
  • Model type: ONNX
  • License: apache-2.0
  • Model Description: This is a conversion of the Qwen3.8-27B for local text inference.
  • 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 Qwen3.8-27B for details.

Version: 1

View in Studio: https://ml.azure.com/registries/azureml/models/qwen3.8-27b/version/1

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