Qwen2.5-Coder-7B-Instruct-ONNX-WebGPU
Qwen/Qwen2.5-Coder-7B-Instruct converted to ONNX for running in a web browser with ONNX Runtime Web's WebGPU backend, as used by Quick Inference.
Changes from the original
- Converted to ONNX with ONNX Runtime GenAI's model builder (
-p int4 -e webgpu). - The weights of the linear layers are quantised to 4 bits (k-quant, block size 32); the rest are float16.
- Activations and the KV cache are float16.
These are modified files: their outputs are close to, but not identical to, the original model's.
Licence
Licensed under the same terms as the original model: see LICENSE.
Files
LICENSEchat_template.jinjagenai_config.jsonmodel.onnxmodel.onnx.datatokenizer.jsontokenizer_config.json
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