init commit

LICENSE

@@ -0,0 +1,140 @@
+The MooER from Moore Threads is licensed under the MIT License listed below. Copyright (c) 2023-2024 Moore Threads Technology Co., Ltd("Moore Threads"). All rights reserved.
+Terms of the MIT License
+-------------------------------------------------------------------------
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+-------------------------------------------------------------------------
+The following copyright statements and licenses apply to various open source software/model
+packages (or portions thereof) that are distributed with this MooER. MooER that
+includes this file does not necessarily use all the open source software packages referred
+to below and may also only use portions of a given package. Some open source software
+packages referred to below may have been modified by Moore Threads Technology Co., Ltd
+-------------------------------------------------------------------------
+SLAM-LLM
+Copyright (c) 2024 Ziyang Ma
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+-------------------------------------------------------------------------
+FunASR
+
+MIT License
+
+Copyright (c) 2022 Alibaba
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+-------------------------------------------------------------------------
+FunASR model
+Copyright (C) [2023-2028] Alibaba Group. All rights reserved.
+
+Thank you for choosing the FunASR open source models. The FunASR open source models contain a series of open-source models that allow everyone to use, modify, share, and learn from it.
+
+To ensure better community collaboration, we have developed the following agreement and hope that you carefully read and abide by it.
+
+1 Definitions
+In this agreement, [FunASR software] refers to the FunASR open source model, and its derivatives, including fine-tuned models. [You] refer to individuals or organizations who use, modify, share, and learn from [FunASR software].
+
+2 License and Restrictions
+
+2.1 License
+You are free to use, copy, modify, and share [FunASR software] under the conditions of this agreement.
+
+2.2 Restrictions
+You should indicate the code and model source and author information when using, copying, modifying and sharing [FunASR software]. You should keep the relevant names of models in [FunASR software].
+
+3 Responsibility and Risk
+[FunASR software] is for reference and learning purposes only and is not responsible for any direct or indirect losses caused by your use or modification of [FunASR software]. You should take responsibility and risks for your use and modification of [FunASR software].
+
+4 Termination
+If you violate any terms of this agreement, your license will be automatically terminated, and you must stop using, copying, modifying, and sharing [FunASR software].
+
+5 Revision
+This agreement may be updated and revised from time to time. The revised agreement will be published in the FunASR official repository and automatically take effect. If you continue to use, copy, modify, and share [FunASR software], it means you agree to the revised agreement.
+
+6 Other Provisions
+This agreement is subject to the laws of [Country/Region]. If any provisions are found to be illegal, invalid, or unenforceable, they shall be deemed deleted from this agreement, and the remaining provisions shall remain valid and binding.
+
+If you have any questions or comments about this agreement, please contact us.
+
+Copyright (c) [2023-2028] Alibaba Group. All rights reserved.
+
+FunASR 模型开源协议
+
+版本号：1.0
+
+版权所有 (C) [2023-2028] [阿里巴巴集团]。保留所有权利。
+
+感谢您选择 FunASR 开源模型。FunASR 开源模型包含一系列免费且开源的工业模型，让大家可以使用、修改、分享和学习该模型。
+
+为了保证更好的社区合作，我们制定了以下协议，希望您仔细阅读并遵守本协议。
+
+1 定义
+本协议中，[FunASR 软件]指 FunASR 开源模型权重及其衍生品，包括 Finetune 后的模型；[您]指使用、修改、分享和学习[FunASR 软件]的个人或组织。
+
+2 许可和限制
+2.1 许可
+
+您可以在遵守本协议的前提下，自由地使用、复制、修改和分享[FunASR 软件]。
+
+2.2 限制
+
+您在使用、复制、修改和分享[FunASR 软件]时，必须注明出处以及作者信息，并保留[FunASR 软件]中相关模型名称。
+
+3 责任和风险承担
+[FunASR 软件]仅作为参考和学习使用，不对您使用或修改[FunASR 软件]造成的任何直接或间接损失承担任何责任。您对[FunASR 软件]的使用和修改应该自行承担风险。
+
+4 终止
+如果您违反本协议的任何条款，您的许可将自动终止，您必须停止使用、复制、修改和分享[FunASR 软件]。
+
+5 修订
+本协议可能会不时更新和修订。修订后的协议将在[FunASR 软件]官方仓库发布，并自动生效。如果您继续使用、复制、修改和分享[FunASR 软件]，即表示您同意修订后的协议。
+
+6 其他规定
+本协议受到[国家/地区] 的法律管辖。如果任何条款被裁定为不合法、无效或无法执行，则该条款应被视为从本协议中删除，而其余条款应继续有效并具有约束力。
+
+如果您对本协议有任何问题或意见，请联系我们。
+
+版权所有© [2023-2028] [阿里巴巴集团]。保留所有权利。
+-------------------------------------------------------------------------
+Qwen/Qwen2-7B-Instruct
+Copyright [yyyy] [name of copyright owner]
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
+

Qwen2-7B-Instruct/README.md

@@ -0,0 +1,11 @@
+Please download Qwen2-7B-Instruct manually.
+
+Qwen2-7B-Instruct can be downloaded from HuggingFace or ModelScope by:
+
+```
+# from huggingface
+git clone https://huggingface.co/Qwen/Qwen2-7B-Instruct
+
+# from modelscope
+git clone https://modelscope.cn/models/qwen/Qwen2-7B-Instruct
+```

README.md

@@ -0,0 +1,48 @@
+# MooER (摩耳): LLM-based Speech Recognition and Translation Models from Moore Threads
+
+## 📖 Introduction
+
+We introduce **MooER (摩耳)**: LLM-based speech recognition and translation models developed by Moore Threads. With the *MooER* framework, you can transcribe the speech into text (speech recognition or, ASR), and  translate it into other languages (speech translation or, AST) in a end-to-end manner. The performance of *MooER* is demonstrated in the subsequent section, along with our insights into model configurations, training strategies, and more, provided in our [technical report](https://arxiv.org/abs/2408.05101).
+
+<br>
+<p align="center">
+    <img src="assets/framework.png" width="600"/>
+<p>
+<br>
+
+## 🏁 Getting Started
+
+**For the performance of MooER and the usage of the model files, please visit our [GitHub](https://github.com/MooreThreads/MooER)**
+
+
+
+## 🧾 License
+
+Please see the [LICENSE](LICENSE).
+
+
+## 💖 Citation
+
+If you find MooER useful for your research, please 🌟 this repo and cite our work using the following BibTeX:
+
+```bibtex
+@article{liang2024mooer,
+  title   = {MooER: LLM-based Speech Recognition and Translation Models from Moore Threads},
+  author  = {Zhenlin Liang, Junhao Xu, Yi Liu, Yichao Hu, Jian Li, Yajun Zheng, Meng Cai, Hua Wang},
+  journal = {arXiv preprint arXiv:2408.05101},
+  url     = {https://arxiv.org/abs/2408.05101}, 
+  year    = {2024}
+}
+```
+
+## 📧 Contact
+
+If you encouter any problems, feel free to create a discussion.
+
+Moore Threads Website: **https://www.mthreads.com/**
+
+<br>
+<p align="left">
+    <img src="assets/MTLogo.png" width="300"/>
+<p>
+<br>

asr/adapter_project.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6124d125c9cf7f549b7a74508fbe15e2936d4b172ef09452e383b80e2a1ca29c
+size 37772943

asr/lora_weights/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+### Framework versions
+
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+- PEFT 0.5.0
+
+- PEFT 0.5.0

asr/lora_weights/adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

asr/lora_weights/adapter_model.bin

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asr_ast_mtl/adapter_project.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:128c778a5ffaa20ab9d07920924c4251235fa7bc620870f2a954e4c6eab106d4
+size 37772943

asr_ast_mtl/lora_weights/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+### Framework versions
+
+
+- PEFT 0.5.0

asr_ast_mtl/lora_weights/adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

asr_ast_mtl/lora_weights/adapter_model.bin

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+size 646058477

ast/adapter_project.pt

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+oid sha256:103bdfb5c987a5128627257822f87d82b5ccfcfc5f65fc361f429ac819bd0fed
+size 37772943

ast/lora_weights/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+### Framework versions
+
+
+- PEFT 0.5.0

ast/lora_weights/adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

ast/lora_weights/adapter_model.bin

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configuration.json

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+{"framework":"Pytorch","task":"auto-speech-recognition"}

paraformer_encoder/am.mvn

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