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[Build] How can I quantize the llama3 model activation to int4 ? #21334

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zhangyu68 opened this issue Jul 12, 2024 · 0 comments
Open

[Build] How can I quantize the llama3 model activation to int4 ? #21334

zhangyu68 opened this issue Jul 12, 2024 · 0 comments
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build build issues; typically submitted using template model:transformer issues related to a transformer model: BERT, GPT2, Hugging Face, Longformer, T5, etc. quantization issues related to quantization

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@zhangyu68
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Describe the issue

I’m trying to quantize a int4 model, but this file only provides the weight-only-quantization. If I can quantize both weight and activation to int4 ?
https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/quantization/matmul_4bits_quantizer.py

Thanks for your help!

Urgency

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Target platform

onnx

Build script

python -m onnxruntime.transformers.models.llama.convert_to_onnx -m /publicdata/huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/ --output llama3-8b-int4-gpu --precision int4 --execution_provider cuda --quantization_method blockwise --use_gqa

Error / output

except can quantize both weight and activation

Visual Studio Version

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GCC / Compiler Version

No response

@zhangyu68 zhangyu68 added the build build issues; typically submitted using template label Jul 12, 2024
@github-actions github-actions bot added ep:CUDA issues related to the CUDA execution provider model:transformer issues related to a transformer model: BERT, GPT2, Hugging Face, Longformer, T5, etc. quantization issues related to quantization labels Jul 12, 2024
@sophies927 sophies927 removed the ep:CUDA issues related to the CUDA execution provider label Jul 18, 2024
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Labels
build build issues; typically submitted using template model:transformer issues related to a transformer model: BERT, GPT2, Hugging Face, Longformer, T5, etc. quantization issues related to quantization
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