Repository: huggingface/transformers
Pull request: Add conversion mapping to Qwen3 Omni MoE Thinker submodel

# What does this PR do?

This makes sure the thinker is loaded correctly when directly using `Qwen3OmniMoeThinkerForConditionalGeneration`.
This also fixes the misalignment issue that can be observed by running `TRANSFORMERS_TEST_DEVICE=cpu pytest tests/models/qwen3_omni_moe/ -k "test_eager_matches_sdpa_inference" -vvvv`
@vasqu 

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Changed files:
filename: src/transformers/conversion_mapping.py
patch: @@ -248,6 +248,7 @@ def _build_checkpoint_conversion_mapping():
     mapping["longcat_flash"] = mapping["qwen2_moe"].copy()
     mapping["qwen3_moe"] = mapping["qwen2_moe"].copy()
     mapping["qwen3_omni_moe"] = mapping["qwen2_moe"].copy()
+    mapping["qwen3_omni_moe_thinker"] = mapping["qwen2_moe"].copy()
     mapping["qwen3_next"] = mapping["qwen2_moe"].copy()
     mapping["hunyuan_v1_moe"] = mapping["qwen2_moe"].copy()
     mapping["minimax"] = mapping["mixtral"].copy()