This model is an optimized version of Qwen3-0.6B to enable local inference on CPUs. This model uses DiscQuant mixed-precision quantization.

• Developed by: Microsoft
• Model type: ONNX
• License: apache-2.0
• Model Description: This is a conversion of the Qwen3-0.6B for local inference on CPUs.
• 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.

See Hugging Face model Qwen3-0.6B for details.

Version: 4

foundryLocal : pp_finetuned license : apache-2.0 licenseDescription : This model is provided under the License Terms available at <https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE>. author : Microsoft inputModalities : text outputModalities : text task : chat-completion maxOutputTokens : 2048 alias : qwen3-0.6b-pp-finetuned directoryPath : v4 promptTemplate : {"system": "<|im_start|>system\n{Content}<|im_end|>", "user": "<|im_start|>user\n{Content}<|im_end|>", "assistant": "<|im_start|>assistant\n{Content}<|im_end|>", "prompt": "<|im_start|>user\n{Content}<|im_end|>\n<|im_start|>assistant"} contextLength : 40960 capabilities minFLVersion : 0.0.0 disable-maap : True

View in Studio: https://ml.azure.com/registries/azureml/models/qwen3-0.6b-pp-finetuned-generic-cpu/version/4

License: apache-2.0