[NPU] fix VoxtralRealtimeTextModel miss in 5.3.0 transformers version for model Mistral-Small-3.1-2506#21674
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This pull request updates the model architecture mapping in llava.py to handle newer transformers versions by accessing internal mapping attributes and adds specific execution arguments to the Mistral model tests on NPU. Feedback suggests documenting the reliance on private library attributes and refactoring the mapping logic into a dictionary comprehension for improved clarity.
… for model Mistral-Small-3.1-2506
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Apr 15, 2026
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Motivation
In the 5.3.0 transformers version, running model case of

test_npu_mistral_small_3_1_24b_instruct_2503.pywill report errorCould not find VoxtralRealtimeTextModelwhen call function_config_cls_name_to_arch_name_mapping()Modifications
In 5.3.0 transformers,
_model_mappingbecomes_LazyAutoMappingobject, useraw_config_mappingandraw_model_mappingto reconstruct the mapping.Accuracy Tests
Speed Tests and Profiling
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