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convert : yield Gemma3N custom_map tensors directly (#19091)

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Sigbjørn Skjæret
2026-01-25 18:03:34 +01:00
committed by GitHub
parent bcb43163ae
commit 0bf5636938
1 changed files with 2 additions and 1 deletions
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convert_hf_to_gguf.py
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@@ -6145,7 +6145,8 @@ class Gemma3nVisionAudioModel(ConformerAudioModel):
if name.startswith("model.vision_tower.timm_model.blocks."): if name.startswith("model.vision_tower.timm_model.blocks."):
# Double-indexed block tensors through custom logic # Double-indexed block tensors through custom logic
new_name = self.custom_map(name) yield (self.custom_map(name), data_torch)
return
else: else:
# Route non-repeating (conv_stem, msfa, embedding, etc.) and un-catched through tensor_mapping.py # Route non-repeating (conv_stem, msfa, embedding, etc.) and un-catched through tensor_mapping.py
new_name = self.map_tensor_name(name) new_name = self.map_tensor_name(name)