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Qwen3-1.7B-SparseGPT_unstruct_0.7_bs128_damp0.1 – AI Model by MilyaShams | AlphaNeural AI

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MilyaShams/
Qwen3-1.7B-SparseGPT_unstruct_0.7_bs128_damp0.1

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SparseGPT_unstruct_0.7_bs128_damp0.1

Qwen/Qwen3-1.7B

compressed-tensors

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Compressed Model: MilyaShams/Qwen3-1.7B-SparseGPT_unstruct_0.7_bs128_damp0.1

This model was compressed using the llmcompressor framework.

Compression Details

Base Model: Qwen/Qwen3-1.7B
Experiment Name: SparseGPT_unstruct_0.7_bs128_damp0.1
Recipe / Modifiers Applied:

index=None group=None start=None end=None update=None initialized_=True finalized_=True started_=True ended_=True sparsity=0.7 sparsity_profile=None mask_structure='0:0' owl_m=None owl_lmbda=None sequential_update=False sequential_targets=['Qwen3DecoderLayer'] targets=['Linear'] ignore=[] block_size=128 dampening_frac=0.1 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.