Resp Agent Models

--- license: mit tags: - respiratory-sound - medical-ai - audio-generation - audio-classification language: - en --- # Resp-Agent Models Model weights for **Resp-Agent** - An intelligent respiratory sound analysis and generation system. 📦 **GitHub Repository**: [AustinZhang/Resp-Agent](https://github.com/zpforlove/Resp-Agent) ## 📁 Contents | Model | Size | Description | |-------|------|-------------| | **Diagnoser/checkpoints/longformer** | 952 MB | Fine-tuned Longformer for EHR + audio analysis | | **Diagnoser/pretrained_models** | 695 MB | BEATs & Tokenizer pretrained weights | | **Generator/checkpoints/llm** | 3.8 GB | Fine-tuned LLM for audio generation | | **Generator/checkpoints/flow** | 2.0 GB | CFM flow matching model | | **Generator/pretrained_models** | 695 MB | BEATs & Tokenizer pretrained weights | | **audio_descriptions.jsonl** | 87 MB×2 | Audio description data | > **Note**: DeepSeek-R1 model is **NOT** included here. Please download separately from: > 🔗 [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) ## 🚀 Quick Download ```python from huggingface_hub import snapshot_download # Download all models snapshot_download( repo_id="AustinZhang/resp-agent-models", local_dir="./", ignore_patterns=["*.md", ".gitattributes"] ) # Download DeepSeek-R1 separately snapshot_download( repo_id="deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", local_dir="./Diagnoser/checkpoints/deepseek-r1" ) ``` ## 📂 Expected Directory Structure After downloading, your project should look like: ``` Resp-Agent/ ├── Diagnoser/ │ ├── checkpoints/ │ │ ├── deepseek-r1/ # From deepseek-ai/DeepSeek-R1-Distill-Qwen-7B │ │ └── longformer/ # From this repo │ └── pretrained_models/ # From this repo └── Generator/ ├── checkpoints/ │ ├── llm/ # From this repo │ └── flow/ # From this repo └── pretrained_models/ # From this repo ``` ## 📝 Paper **[Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis](https://openreview.net/forum?id=ZkoojtEm3W&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2026%2FConference%2FAuthors%23your-submissions))** (ICLR 2026) If you find this work useful, please cite our paper: ```bibtex @inproceedings{zhangresp, title={Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis}, a...