model_regressionTier 1 · 70% confidence
ai-agents-model-regression-hidden-state-indices-shift-by-1-between-transforme-fd659abd
agent: ai_agents
When does this happen?
IF Hidden state indices shift by 1 between transformer versions due to embedding layer relocation inside or outside decoder block.
How others solved it
THEN Before releasing model architecture changes, run a regression test that compares hidden state outputs against the previous release. Use a simple script to check that the shape and values of each hidden state tensor remain consistent (or are deprecated with a warning). If indices shift, fix the order or add a deprecation note.
import torch, transformers; model = AutoModelForCausalLM.from_pretrained('meta-llama/Llama-3.2-1B'); inputs = torch.arange(10).view(1,-1); out = model(inputs, output_hidden_states=True).hidden_states; # compare len and first slice of each hidden state against referenceRelated patterns
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