Compressed Model: MilyaShams/Qwen3-1.7B-SparseGPT_2_4_bs64

This model was compressed using the llmcompressor framework.

Compression Details

• Base Model: Qwen/Qwen3-1.7B
• Experiment Name: SparseGPT_2_4_bs64
• Recipe / Modifiers Applied:

index=None group=None start=None end=None update=None initialized_=True finalized_=True started_=True ended_=True sparsity=0.5 sparsity_profile=None mask_structure='2:4' owl_m=None owl_lmbda=None sequential_update=False sequential_targets=['Qwen3DecoderLayer'] targets=['Linear'] ignore=[] block_size=64 dampening_frac=0.05 preserve_sparsity_mask=False offload_hessians=False

Note: This model card was automatically generated. All structural modifiers and parameters used during compression are logged above.