Upload standalone Qwen2.5-Omni audio encoder extracted for FlexiSLM

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README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: feature-extraction
+base_model: Qwen/Qwen2.5-Omni-7B
+---
+
+# Qwen2.5-Omni Audio Encoder
+
+Standalone audio encoder extracted from [Qwen/Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) for [FlexiSLM](https://huggingface.co/FlexiSLM).
+
+This checkpoint keeps only `Qwen2_5OmniAudioEncoder` (`thinker.audio_tower.*`: conv layers, 32 transformer layers, `ln_post`, and `proj`). The Omni thinker LLM, talker, vision tower, and tokenizer are omitted.
+
+- Parameters: 640M
+- Size: 1.19 GiB (`bfloat16`)
+- Output dim: 3584
+- Mel bins: 128
+
+## Usage with FlexiSLM
+
+```yaml
+qwen25omni_encoder_path: FlexiSLM/Qwen2_5-Omni-Audio_Encoder
+qwen25omni_encoder_config_path: FlexiSLM/Qwen2_5-Omni-Audio_Encoder/config.json
+```
+
+Weights are also loadable with `transformers.models.qwen2_5_omni.modeling_qwen2_5_omni.Qwen2_5OmniAudioEncoder`.
+
+## License
+
+Apache 2.0, same as the source Qwen2.5-Omni-7B checkpoint. Copyright 2025 Alibaba Cloud.

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "Qwen2_5OmniAudioEncoder"
+  ],
+  "attention_dropout": 0.0,
+  "d_model": 1280,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layers": 32,
+  "initializer_range": 0.02,
+  "max_source_positions": 1500,
+  "model_type": "qwen2_5_omni_audio_encoder",
+  "n_window": 100,
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "output_dim": 3584,
+  "scale_embedding": false,
+  "torch_dtype": "bfloat16"
+}

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