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+---
+license: apache-2.0
+language:
+- en
+tags:
+- chat
+- audio
+- audio-text-to-text
+---
+# Qwen2-Audio-7B
+## Introduction
+Qwen2-Audio is the new series of Qwen large audio-language models. Qwen2-Audio is capable of accepting various audio signal inputs and performing audio analysis or direct textual responses with regard to speech instructions. We introduce two distinct audio interaction modes:
+* voice chat: users can freely engage in voice interactions with Qwen2-Audio without text input;
+* audio analysis: users could provide audio and text instructions for analysis during the interaction;
+We release Qwen2-Audio-7B and Qwen2-Audio-7B-Instruct, which are pretrained model and chat model respectively.
+For more details, please refer to our [Blog](https://qwenlm.github.io/blog/qwen2-audio/), [GitHub](https://github.com/QwenLM/Qwen2-Audio), and [Report](https://www.arxiv.org/abs/2407.10759).
+<br>
+## Requirements
+The code of Qwen2-Audio has been in the latest Hugging face transformers and we advise you to build from source with command `pip install git+https://github.com/huggingface/transformers`, or you might encounter the following error:
+```
+KeyError: 'qwen2-audio'
+```
+## Quickstart
+Here provides offers a code snippet illustrating the process of loading both the processor and model, alongside detailed instructions on executing the pretrained Qwen2-Audio base model for content generation.
+```python
+from io import BytesIO
+from urllib.request import urlopen
+import librosa
+from transformers import AutoProcessor, Qwen2AudioForConditionalGeneration
+model = Qwen2AudioForConditionalGeneration.from_pretrained("Qwen/Qwen2-Audio-7B" ,trust_remote_code=True)
+processor = AutoProcessor.from_pretrained("Qwen/Qwen2-Audio-7B" ,trust_remote_code=True)
+prompt = "<|audio_bos|><|AUDIO|><|audio_eos|>Generate the caption in English:"
+url = "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Audio/glass-breaking-151256.mp3"
+audio, sr = librosa.load(BytesIO(urlopen(url).read()), sr=processor.feature_extractor.sampling_rate)
+inputs = processor(text=prompt, audios=audio, return_tensors="pt")
+generated_ids = model.generate(**inputs, max_length=256)
+generated_ids = generated_ids[:, inputs.input_ids.size(1):]
+response = processor.batch_decode(generated_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+```
+## Citation
+If you find our work helpful, feel free to give us a cite.
+```BibTeX
+@article{Qwen2-Audio,
+  title={Qwen2-Audio Technical Report},
+  author={Chu, Yunfei and Xu, Jin and Yang, Qian and Wei, Haojie and Wei, Xipin and Guo,  Zhifang and Leng, Yichong and Lv, Yuanjun and He, Jinzheng and Lin, Junyang and Zhou, Chang and Zhou, Jingren},
+  journal={arXiv preprint arXiv:2407.10759},
+  year={2024}
+}
+```
+```BibTeX
+@article{Qwen-Audio,
+  title={Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models},
+  author={Chu, Yunfei and Xu, Jin and Zhou, Xiaohuan and Yang, Qian and Zhang, Shiliang and Yan, Zhijie  and Zhou, Chang and Zhou, Jingren},
+  journal={arXiv preprint arXiv:2311.07919},
+  year={2023}
+}
+```

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+  "system": "# Role: 听障翻译小助手\n## Profile\n- description: 你是一位专为听障人士设计的多功能翻译助手，能通过分析视频中的人脸口型与音频信息，将含糊不清的口语翻译为清晰易懂的文字，还能对听障视频的含义进行解释，并与听障人士进行对话交流，确保人类读者能准确理解，翻译精准度需达到 95%。\n## Skills\n1. 能够处理不标准或含糊的口语输入。\n2. 能结合视频中的人脸口型与音频数据进行多模态语音识别。\n3. 熟悉中文自然语言表达方式，翻译输出必须自然流畅。\n4. 遇到模糊部分可合理补全，确保语义完整。\n5. 能准确解释听障视频中的含义和情感表达。\n6. 能与听障人士进行友好、有效的对话交流。\n## Background:\n听障人士在进行口语表达时，可能因发音不清而影响他人理解，通过结合视频中面部口型与音频，可以更有效地捕捉其表达意图，从而转化为可读文本。同时，在交流互动中，能帮助听障人士更好地理解信息和表达自己。\n## Goals:\n帮助用户将/translate命令触发的模糊语音内容翻译为自然语言文字，并通过/chat命令解释听障视频的含义或与听障人士进行对话交流。\n## OutputFormat:\n接收用户提供的视频片段（含音频与人脸）或聊天对话指令，返回对应的自然语言文本内容。\n## Rules\n1. 输出的翻译和对话内容必须为自然、完整、通顺的中文句子。\n2. 遇到��频模糊时优先结合口型信息判断语义。\n3. 仅在用户输入指令/translate时进行翻译，在用户输入指令/chat时进行对话及含义解释。\n## Workflows\n1. **翻译工作流（/translate）** ：接收到用户指令/translate后，解析视频中的人脸口型与音频内容。识别并还原模糊口语的真实语义。组织为自然中文文本，确保可读性和理解度。\n2. **对话及含义解释工作流（/chat）** ：接收到用户指令/chat后，若用户提供了含有口型与音频的视频片段，先分析视频内容，提取关键信息，结合上下文解释视频的含义，包括说话人的意图、情感等，并以自然流畅的中文表达出来；若用户直接进行对话，理解用户意图，用友好、通俗易懂的语言与听障人士或普通用户进行交流，确保沟通顺畅。\n## Init\n欢迎使用听障翻译小助手。请通过输入/translate命令并上传含有口型与音频的视频，我们将为您准确还原说话内容，帮助更清晰地沟通；您也可以输入/chat命令，与我们交流或让我们为您解读听障视频的深层含义。",
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+}

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,7 @@

+{% set audio_count = namespace(value=0) %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
+You are a helpful assistant.<|im_end|>
+{% endif %}<|im_start|>{{ message['role'] }}
+{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
+{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_bos|><|IMAGE|><|vision_eos|>{% elif content['type'] == 'audio' or 'audio' in content or 'audio_url' in content %}{% set audio_count.value = audio_count.value + 1 %}{% if add_audio_id %}Audio {{ audio_count.value }}: {% endif %}<|audio_bos|><|AUDIO|><|audio_eos|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_bos|><|VIDEO|><|vision_eos|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
+{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
+{% endif %}

config.json ADDED Viewed

	@@ -0,0 +1,573 @@

+{
+  "architectures": [
+    "Qwen2_5OmniForConditionalGeneration"
+  ],
+  "enable_audio_output": true,
+  "enable_talker": true,
+  "hidden_size": 2048,
+  "keys_to_ignore_at_inference": [
+    "past_key_values",
+    "hidden_states",
+    "attention_mask"
+  ],
+  "model_type": "qwen2_5_omni",
+  "pad_token_id": 151643,
+  "talker_config": {
+    "_name_or_path": "Qwen2.5-Omni-3B/talker",
+    "architectures": [
+      "Qwen2OmniTalkerForConditionalGeneration"
+    ],
+    "attention_dropout": 0.0,
+    "audio_end_token_id": 151648,
+    "audio_start_token_id": 151647,
+    "audio_token_index": 151646,
+    "embedding_size": 2048,
+    "head_dim": 64,
+    "hidden_act": "silu",
+    "hidden_size": 896,
+    "image_token_index": 151655,
+    "init_std": 0.02,
+    "initializer_range": 0.02,
+    "intermediate_size": 4864,
+    "max_position_embeddings": 32768,
+    "max_window_layers": 28,
+    "model_type": "qwen2_5_omni_talker",
+    "num_attention_heads": 14,
+    "num_hidden_layers": 24,
+    "num_key_value_heads": 2,
+    "position_id_per_seconds": 25,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
+      "mrope_section": [
+        16,
+        16,
+        0
+      ],
+      "rope_type": "default",
+      "type": "default"
+    },
+    "rope_theta": 1000000.0,
+    "seconds_per_chunk": 2,
+    "sliding_window": 32768,
+    "spatial_merge_size": 2,
+    "torch_dtype": "bfloat16",
+    "tts_codec_end_token_id": 8294,
+    "tts_codec_mask_token_id": 8296,
+    "tts_codec_pad_token_id": 8292,
+    "tts_codec_start_token_id": 8293,
+    "tts_text_end_token_id": 151861,
+    "tts_text_pad_token_id": 151859,
+    "tts_text_start_token_id": 151860,
+    "use_cache": true,
+    "use_sliding_window": false,
+    "video_token_index": 151656,
+    "vision_end_token_id": 151653,
+    "vision_start_token_id": 151652,
+    "vocab_size": 8448
+  },
+  "thinker_config": {
+    "_name_or_path": "Qwen2.5-Omni-3B/thinker",
+    "architectures": [
+      "Qwen2OmniNaViTThinkerForConditionalGeneration"
+    ],
+    "audio_config": {
+      "_name_or_path": "",
+      "activation_dropout": 0.0,
+      "activation_function": "gelu",
+      "add_cross_attention": false,
+      "architectures": null,
+      "attention_dropout": 0.0,
+      "bad_words_ids": null,
+      "begin_suppress_tokens": null,
+      "bos_token_id": null,
+      "chunk_size_feed_forward": 0,
+      "cross_attention_hidden_size": null,
+      "d_model": 1280,
+      "decoder_start_token_id": null,
+      "diversity_penalty": 0.0,
+      "do_sample": false,
+      "dropout": 0.0,
+      "early_stopping": false,
+      "encoder_attention_heads": 20,
+      "encoder_ffn_dim": 5120,
+      "encoder_layerdrop": 0.0,
+      "encoder_layers": 32,
+      "encoder_no_repeat_ngram_size": 0,
+      "eos_token_id": null,
+      "exponential_decay_length_penalty": null,
+      "finetuning_task": null,
+      "forced_bos_token_id": null,
+      "forced_eos_token_id": null,
+      "id2label": {
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+        "1": "LABEL_1"
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+      "init_std": 0.02,
+      "initializer_range": 0.02,
+      "is_decoder": false,
+      "is_encoder_decoder": false,
+      "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1
+      },
+      "length_penalty": 1.0,
+      "max_length": 20,
+      "max_source_positions": 1500,
+      "min_length": 0,
+      "model_type": "qwen2_5_omni_audio_encoder",
+      "n_window": 100,
+      "no_repeat_ngram_size": 0,
+      "num_beam_groups": 1,
+      "num_beams": 1,
+      "num_hidden_layers": 32,
+      "num_mel_bins": 128,
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+      "output_attentions": false,
+      "output_dim": 2048,
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+      "problem_type": null,
+      "pruned_heads": {},
+      "remove_invalid_values": false,
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+      "return_dict": true,
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+      "scale_embedding": false,
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+      "temperature": 1.0,
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+      "top_k": 50,
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+      "torchscript": false,
+      "typical_p": 1.0,
+      "use_bfloat16": false
+    },
+    "audio_end_token_id": 151648,
+    "audio_start_token_id": 151647,
+    "audio_token_index": 151646,
+    "bos_token_id": 151644,
+    "eos_token_id": 151645,
+    "ignore_index": -100,
+    "image_token_index": 151655,
+    "init_std": 0.02,
+    "initializer_range": 0.02,
+    "model_type": "qwen2_5_omni_thinker",
+    "pad_token_id": 151643,
+    "position_id_per_seconds": 25,
+    "seconds_per_chunk": 2,
+    "text_config": {
+      "_name_or_path": "",
+      "add_cross_attention": false,
+      "architectures": null,
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+      "hidden_act": "silu",
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+      "id2label": {
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+        "LABEL_1": 1
+      },
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+      "max_length": 20,
+      "max_position_embeddings": 32768,
+      "max_window_layers": 70,
+      "min_length": 0,
+      "model_type": "qwen2_5_omni_text",
+      "no_repeat_ngram_size": 0,
+      "num_attention_heads": 16,
+      "num_beam_groups": 1,
+      "num_beams": 1,
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+      "num_key_value_heads": 2,
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+      "rms_norm_eps": 1e-06,
+      "rope_scaling": {
+        "mrope_section": [
+          16,
+          24,
+          24
+        ],
+        "rope_type": "default",
+        "type": "default"
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+      "vocab_size": 151936
+    },
+    "torch_dtype": "bfloat16",
+    "user_token_id": 872,
+    "video_token_index": 151656,
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+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_pad",
+    "do_center_crop",
+    "crop_size",
+    "data_format",
+    "input_data_format",
+    "device",
+    "min_pixels",
+    "max_pixels",
+    "patch_size",
+    "temporal_patch_size",
+    "merge_size"
+  ],
+  "n_fft": 400,
+  "n_samples": 4800000,
+  "nb_max_frames": 30000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5OmniProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_attention_mask": true,
+  "sampling_rate": 16000,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "size_divisor": null,
+  "temporal_patch_size": 2,
+  "video_processor_type": "Qwen2VLVideoProcessor"
+}

vocab.json ADDED Viewed

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