Running the example script llm-compressor/examples/quantization_w4a4_fp4/llama3_example.py results in a runtime error. Full traceback is included below.

Hi, thanks for the amazing work. I need some help understanding how to choose the layers for specific models, especially those without examples. I am currently looking at Qwen3-32b, which I see only ...

Abstract: Learned image compression has exhibited promising compression performance, but variable bitrates over a wide range remain a challenge. State-of-the-art variable rate methods compromise the ...

Abstract: Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features through wireless channels. However, most ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...