YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Calibration Dataset for Qwen3-0.6B SmoothQuant

This dataset contains the calibration samples used for quantizing Qwen3-0.6B-Base using SmoothQuant.

Source

  • Original Dataset: allenai/ai2_arc (ARC-Challenge)
  • Split: train (512 random samples)
  • Usage: Calibration for activation scale computation in SmoothQuant quantization

Format

  • text: The question text used for calibration
  • source: Source dataset name
  • split: Original split from source dataset

Sampling

512 random samples were selected from the training set using a fixed random seed (42) for reproducibility.

Usage

This dataset was used to compute activation scales for SmoothQuant quantization of Qwen3-0.6B-Base model.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support