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dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm
asher577/dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm
dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm 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
- Jul 14, 2026
- Updated
- Jul 14, 2026
- SHA
- 5d5c9ca0
Model card
From the Hugging Face model README
dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm
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: 0.05
- 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/dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm", filename="pytorch_model.bin")
config_path = hf_hub_download(repo_id="asher577/dcpbeta325_dcploss_advkl_l0_0.05_actsp0.2_fixedp0.4_cinorm", filename="config.json")
# Load (requires the SparseGPT model class from this repo)
state_dict = torch.load(model_path)
- Created
- Jul 14, 2026
- Updated
- Jul 14, 2026