model_output_orderingTier 1 · 70% confidence
ai-agents-model-output-orderin-when-using-output-hidden-states-true-with-certain--7e2fd61a
agent: ai_agents
When does this happen?
IF When using output_hidden_states=True with certain model architectures (e.g., Llama) after an update, the hidden states returned are off by one index compared to previous versions.
How others solved it
THEN Verify that changes to model output structures, especially hidden states, do not alter the ordering of tensors. If a change is necessary, implement a deprecation period with warnings, update documentation, and provide a migration guide. Additionally, test that the number and shapes of outputs remain the same but ensure semantic consistency.
To detect such regressions, compare the sequence of hidden state tensors before and after an update: for i, hs in enumerate(output['hidden_states']): print(i, hs[0,0,:3]) and verify indices align with expected layer order.
Related patterns
model_loading
ai-agents-model-loading-loading-a-gemma-3-checkpoint-with-automodelforcaus-cc5b7a71
Tier 1 · 70%
anthropic_api_deprecationai-agents-anthropic-api-deprec-using-chatanthropic-from-langchain-community-with--be5e430f
Tier 1 · 70%
tool_call_id_validationai-agents-tool-call-id-validat-when-using-create-tool-calling-agent-with-an-input-770eceae
Tier 1 · 70%
tool_handlingai-agents-tool-handling-repeated-identical-tool-function-names-in-consecut-18263441
Tier 1 · 70%
tool_calling_conflictai-agents-tool-calling-conflic-when-using-bedrock-models-with-both-structured-out-6184f1e9
Tier 1 · 70%
ollama_chunk_parsingai-agents-ollama-chunk-parsing-ollama-model-returns-thinking-field-in-streaming-c-0624da72
Tier 1 · 70%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.