Repository: huggingface/transformers
Pull request: [Fix] Add `original_max_position_embeddings` to YARN rope_scaling optional keys

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This PR adds support for the `original_max_position_embeddings` parameter in YARN rope scaling configurations, addressing compatibility issues with Qwen-32B series models.

The Qwen team requires this parameter for their YARN implementation in Qwen-32B models, ref: [link](https://huggingface.co/Qwen/QwQ-32B).

Previously, transformers would raise warnings about unrecognized keys despite this being a valid configuration parameter:

```
"rope_scaling": {
    "factor": 4.0,
    "original_max_position_embeddings": 32768,  # Previously unrecognized
    "type": "yarn"
}
```

Impact of this PR:
- Eliminates spurious warnings for Qwen-32B users
- Enables proper configuration validation for YARN-based models

This PR could also solves downstream issues:
https://github.com/sgl-project/sglang/issues/4145
https://github.com/vllm-project/vllm/issues/10293

Clarify #33783


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Changed files:
filename: src/transformers/modeling_rope_utils.py
patch: @@ -425,7 +425,7 @@ def _validate_yarn_parameters(config: PretrainedConfig, ignore_keys: Optional[se
     rope_scaling = config.rope_scaling
     rope_type = rope_scaling.get("rope_type", rope_scaling.get("type", None))  # BC: "rope_type" was originally "type"
     required_keys = {"rope_type", "factor"}
-    optional_keys = {"attention_factor", "beta_fast", "beta_slow"}
+    optional_keys = {"attention_factor", "beta_fast", "beta_slow", "original_max_position_embeddings"}
     received_keys = set(rope_scaling.keys())
     _check_received_keys(rope_type, received_keys, required_keys, optional_keys, ignore_keys=ignore_keys)