Repository: huggingface/transformers
Pull request: Small tp fix

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Fixes # (issue)


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Models:

- text models: @ArthurZucker @Cyrilvallez
- vision models: @yonigozlan @molbap
- audio models: @eustlb @ebezzam @vasqu
- multimodal models: @zucchini-nlp
- graph models: @clefourrier

Library:

- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- continuous batching: @remi-or @ArthurZucker @McPatate
- pipelines: @Rocketknight1
- tokenizers: @ArthurZucker and @itazap
- trainer: @SunMarc
- attention: @vasqu @ArthurZucker @CyrilVallez
- model loading (from pretrained, etc): @CyrilVallez
- distributed: @3outeille @ArthurZucker
- CIs: @ydshieh

Integrations:

- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization: @SunMarc @MekkCyber
- kernels: @MekkCyber @drbh
- peft: @BenjaminBossan @githubnemo

Devices/Backends:

- AMD ROCm: @ivarflakstad
- Intel XPU: @IlyasMoutawwakil
- Ascend NPU: @ivarflakstad 

Documentation: @stevhliu

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Changed files:
filename: src/transformers/core_model_loading.py
patch: @@ -718,13 +718,13 @@ def convert_and_load_state_dict_in_model(
                         mapping.distributed_operation = tp_layer(
                             device_mesh=device_mesh, rank=device_map[""].index, empty_param=empty_param.clone()
                         )
-                    shard_index = len(mapping.collected_tensors[source_pattern])
+                    shard_index = len(mapping.collected_tensors)
                     future = spawn_tp_materialize(
                         thread_pool,
                         tensor,
-                        _dtype,
                         mapping.distributed_operation,
                         shard_index,
+                        _dtype,
                     )
 
             if future is None: