Downloads · 30 days
14
9% of all-time downloads
MilyaShams/Qwen3-1.7B-Pipe_PTQ_W8A8_Wanda_unstruct_0.5
Qwen3-1.7B-Pipe_PTQ_W8A8_Wanda_unstruct_0.5 is a machine learning model from MilyaShams. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was compressed using the llmcompressor framework.
Downloads · 30 days
14
9% of all-time downloads
All-time downloads
162
Public
Parameters
2B
2.4 GB on disk
Likes
0
Public
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.safetensors2.3 GB · 99%
How the weights are stored.
I81.7B · 85%
From the Hugging Face model README
This model was compressed using the llmcompressor framework.
[QuantizationModifier(config_groups=None, targets=['Linear'], ignore=[], scheme='W8A8', kv_cache_scheme=None, weight_observer=None, input_observer=None, output_observer=None, observer=None, bypass_divisibility_checks=False, index=None, group=None, start=None, end=None, update=None, initialized_=True, finalized_=None, started_=True, ended_=True), WandaPruningModifier(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='0:0', owl_m=None, owl_lmbda=None, sequential_update=False, sequential_targets=['Qwen3DecoderLayer'], targets=['Linear'], ignore=[])]
Note: This model card was automatically generated. All structural modifiers and parameters used during compression are logged above.