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Make sure you already checked the examples and documentation before submitting an issue.
How would you like to use ModelOpt
- Hello, my purpose is to deploy quantized int8 model using tritonserver. But before that, I need to get a quantized int8 onnx model. From the documents, I did not find any guidance on how to generate onnx models after quantization. Can you provide more information on that? Thanks!
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System information
- Container used (if applicable): ?
- OS (e.g., Ubuntu 22.04, CentOS 7, Windows 10): ?
- CPU architecture (x86_64, aarch64): ?
- GPU name (e.g. H100, A100, L40S): ?
- GPU memory size: ?
- Number of GPUs: ?
- Library versions (if applicable):
- Python: ?
- ModelOpt version or commit hash: ?
- CUDA: ?
- PyTorch: ?
- Transformers: ?
- TensorRT-LLM: ?
- ONNXRuntime: ?
- TensorRT: ?
- Any other details that may help: ?
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questionHelp is is neededHelp is is needed