adpretko / celerity-906m-16k-ad0p2-ild

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 3
30-day runs: 20
Model's Last Updated: October 02 2026

Introduction of celerity-906m-16k-ad0p2-ild

Model Details of celerity-906m-16k-ad0p2-ild

Celerity 906M 16K — ad_0.2_ild_cbcore2.6.0

Official Celerity 906M / 16K attention-dropout checkpoint converted from Cerebras CS format to Hugging Face format.

Training provenance
  • Original experiment: ad_0.2_ild_cbcore2.6.0
  • Source checkpoint: checkpoint_29117.mdl
  • Attention dropout rate: 0.2
  • Attention dropout schedule: linear layer-dependent attention dropout
  • Residual dropout rate: 0.0
  • Stochastic depth: 0.0
  • LayerDrop: 0.0
  • Maximum sequence length: 16384
  • Position embedding type: ALiBi
  • Converter commit: 6f36ba6d76a97383171df68af096670b64f718b7

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

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

Runs of adpretko celerity-906m-16k-ad0p2-ild on huggingface.co

20
Total runs
0
24-hour runs
0
3-day runs
3
7-day runs
20
30-day runs

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adpretko
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huggingface.co

Total runs: 20
Run Growth: -10
Growth Rate: -50.00%
Updated:November 23 2025