Update README.md
#2
by IAMJB - opened
- Qwen2-7B-Instruct/README.md +11 -0
- README.md +13 -51
- asr/adapter_project.pt +3 -0
- asr/lora_weights/README.md +16 -0
- asr/lora_weights/adapter_config.json +26 -0
- asr/lora_weights/adapter_model.bin +3 -0
- asr_ast_mtl/adapter_project.pt +3 -0
- asr_ast_mtl/lora_weights/README.md +9 -0
- asr_ast_mtl/lora_weights/adapter_config.json +26 -0
- asr_ast_mtl/lora_weights/adapter_model.bin +3 -0
- ast/adapter_project.pt +3 -0
- ast/lora_weights/README.md +9 -0
- ast/lora_weights/adapter_config.json +26 -0
- ast/lora_weights/adapter_model.bin +3 -0
- configuration.json +1 -0
- paraformer_encoder/am.mvn +8 -0
- paraformer_encoder/paraformer-encoder.pth +3 -0
Qwen2-7B-Instruct/README.md
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Please download Qwen2-7B-Instruct manually.
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Qwen2-7B-Instruct can be downloaded from HuggingFace or ModelScope by:
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```
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# from huggingface
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git clone https://huggingface.co/Qwen/Qwen2-7B-Instruct
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# from modelscope
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git clone https://modelscope.cn/models/qwen/Qwen2-7B-Instruct
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```
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README.md
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。
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#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('MooreThreadsSpeech/MooER-MTL-5K')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/MooreThreadsSpeech/MooER-MTL-5K.git
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```
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<p style="color: lightgrey;">如果您是本模型的贡献者,我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>,及时完善模型卡片内容。</p>
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license: mit
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```
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@misc{xu2024mooerllmbasedspeechrecognition,
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title={MooER: LLM-based Speech Recognition and Translation Models from Moore Threads},
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author={Junhao Xu and Zhenlin Liang and Yi Liu and Yichao Hu and Jian Li and Yajun Zheng and Meng Cai and Hua Wang},
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year={2024},
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eprint={2408.05101},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2408.05101},
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}
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```
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asr/adapter_project.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6124d125c9cf7f549b7a74508fbe15e2936d4b172ef09452e383b80e2a1ca29c
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size 37772943
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asr/lora_weights/README.md
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---
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library_name: peft
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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asr/lora_weights/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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asr/lora_weights/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20d2436b949c3f9725301357e13d4ee86f3e1e07a7748f8bc52a0859b37e5835
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size 646058477
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asr_ast_mtl/adapter_project.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:128c778a5ffaa20ab9d07920924c4251235fa7bc620870f2a954e4c6eab106d4
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size 37772943
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asr_ast_mtl/lora_weights/README.md
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---
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library_name: peft
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0
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asr_ast_mtl/lora_weights/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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asr_ast_mtl/lora_weights/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:698fa666ad1eb1d5ef8af30981d4ceb652a040bfa8af18fe2cc9be52fecaee62
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size 646058477
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ast/adapter_project.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:103bdfb5c987a5128627257822f87d82b5ccfcfc5f65fc361f429ac819bd0fed
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size 37772943
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ast/lora_weights/README.md
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---
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library_name: peft
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0
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ast/lora_weights/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/jfs/zhenlin.liang/model/Qwen2-7B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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ast/lora_weights/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a33f6dce552b4336f514e50b2aab9b4725db4a8ad737b8cf8f9d750f1c6ef6f0
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size 646058477
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configuration.json
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{"framework":"Pytorch","task":"auto-speech-recognition"}
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paraformer_encoder/am.mvn
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<Nnet>
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<Splice> 560 560
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[ 0 ]
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<AddShift> 560 560
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| 8 |
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paraformer_encoder/paraformer-encoder.pth
ADDED
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