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dkeviv/Qwen3.5-0.8B-Text-ONNX-WebGPU-QDQ-bucket
Qwen3.5-0.8B-Text-ONNX-WebGPU-QDQ-bucket is a machine learning model from dkeviv. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as apache-2.0.
This bucket is derived from onnx-community/Qwen3.5-0.8B-Text-ONNX. It keeps the source q4f16 packed weights (the external data file remains approximately 469 MB) and rewrites the two custom operators that prevented st…
Downloads · 30 days
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.onnx_data469 MB · 96%
From the Hugging Face model README
This bucket is derived from onnx-community/Qwen3.5-0.8B-Text-ONNX.
It keeps the source q4f16 packed weights (the external data file remains
approximately 469 MB) and rewrites the two custom operators that prevented
standard WebGPU execution:
GatherBlockQuantized embedding lookup is expressed as standard Gather,
nibble unpacking, and dequantization operators.CausalConvWithState is expressed as state concat, depthwise causal
convolution arithmetic, and SiLU using standard ONNX operators.The source model's Apache-2.0 license and attribution are retained. This is a WebGPU compatibility derivative; validate the exact browser/runtime combination before using it in production.