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nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken
asher577/nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken
nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken is a machine learning model from asher577. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Weight-sparse transformer trained with the procedure from Gao et al. (2025).
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At a glance
- Access
- Public
- Created
- Jun 16, 2026
- Updated
- Jun 16, 2026
- SHA
- a7dde017
Model card
From the Hugging Face model README
nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken
Weight-sparse transformer trained with the procedure from Gao et al. (2025).
Model Details
- Layers: 2
- Model Dimension: 3072
- Context Length: 512
- Head Dimension: 16
- Vocabulary Size: 4096
Sparsity
- Weight Sparsity: True
- Target L0 Fraction: 1
- Activation Sparsity: True
Training
- Dataset: jacobcd52/simplestories-tokenized
- Tokenizer: SimpleStories/SimpleStories-1.25M
- Total Tokens: 1,000,000,000
Training Run
Usage
import torch
from huggingface_hub import hf_hub_download
# Download model
model_path = hf_hub_download(repo_id="asher577/nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken", filename="pytorch_model.bin")
config_path = hf_hub_download(repo_id="asher577/nodesparse_pgd_20260611_l0_1.0_batchadv_actopk0.2_pertoken", filename="config.json")
# Load (requires the SparseGPT model class from this repo)
state_dict = torch.load(model_path)
- Created
- Jun 16, 2026
- Updated
- Jun 16, 2026