adpretko / celerity-504m-8k-rd0p2-ild

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: 2
30-day runs: 19
Model's Last Updated: October 02 2026

Introduction of celerity-504m-8k-rd0p2-ild

Model Details of celerity-504m-8k-rd0p2-ild

Celerity 504m 8K — rd_0.2_ild_cbcore2.6.0

Official Celerity 504m residual-dropout checkpoint converted from Cerebras CS format to Hugging Face format.

Training provenance
  • Original experiment: rd_0.2_ild_cbcore2.6.0
  • Source checkpoint: checkpoint_18608.mdl
  • Residual dropout rate: 0.2
  • Residual dropout schedule: linear layer-dependent residual dropout
  • Attention dropout rate: 0.0
  • Stochastic depth: 0.0
  • LayerDrop: 0.0
  • Converter commit: 6f36ba6d76a97383171df68af096670b64f718b7

Residual dropout is a training-time regularizer. Its effect is represented in the learned model weights; Hugging Face evaluation is performed with dropout disabled in model.eval() .

This repository uses custom Celerity Hugging Face modeling code and should be loaded with trust_remote_code=True .

Runs of adpretko celerity-504m-8k-rd0p2-ild on huggingface.co

19
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
19
30-day runs

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