Model details
模型介绍 中文整理 # Dayhoff 模型卡片
Model use case Dayhoff是一个蛋白质序列数据和生成式语言模型的集合体，旨在为蛋白质语言建模研究提供集中资源。该模型可用于零样本预测突变对适应度的影响，通过进化或结构背景条件搭建结构基序的支架，并在指定家族内引导生成新蛋白质。
## 主要能力
无条件设计蛋白质序列 零样本预测突变效应（基于ProteinGym基准） 为结构基序设计序列空间中的支架（基于RFDiffusion和MotifBench） 同源物条件化（使用Dayhoff-3b-GR-HM和Dayhoff-3b-GR-HM-c变体） ## 输入输出
*输入**：单个蛋白质序列或展开的多序列比对（MSA） 模型支持N→C和C→N双向的自回归生成，实现与顺序无关的填充任务。
运行要求 *硬件**：NVIDIA GPU（推荐A100或H100） *软件环境**： PyTorch 2.7.1 CUDA 12.8及以上 mamba-ssm causal-conv1d flash-attn 基本用法 最简单的方式是通过HuggingFace接口使用模型。首先创建干净环境，安装PyTorch 2.7.1，然后安装mamba-ssm、flash-attn、causal-conv1d及其依赖。具体使用请参考模型仓库的README文档。
限制 仅限生成蛋白质序列或同源蛋白质序列集合 不可用于自然语言或其他生物序列（如DNA序列） 不保证所有生成的序列都真实可信 难以生成与任何天然序列无同源性的高质量序列 License MIT许可证
## 开发者
Kevin K. Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolo Fusi, Neil Tenenholtz, Ava P. Amini
优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。
你将获得什么 完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。
完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。
使用前须知 运行环境 运行模型需要的设备、工具与依赖，以原作者说明为准。
授权范围 是否允许商用、修改和分发，请查看模型许可证。
闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。
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Pinned version · Multiple download options
Dayhoff-170M-GRS-2000 model download Download the full repository or choose a version or file.
Choose a download source China mirror (recommended) Hugging Face official 已根据访问地区推荐 Hugging Face 官方线路，你可以手动切换。
Choose what to download
Full repository · All files Selected version / file Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.
Load available versions and files
Quantization / file Load the manifest to choose This reads the pinned version's file manifest; no model weights are downloaded.
Choose your operating system Windows · PowerShell Linux / macOS · Terminal For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.
1 Open a terminal window Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.
If Python is not installed, get it from the official Python website . In the terminal, enter python --version; continue when a version number appears.
2 First time? Install the download tool Copy this command, paste it into the terminal, press Enter and wait for installation to finish.
python -m pip install --upgrade huggingface_hubCopy install command Already installed? Continue to step 3.
3 Run the download command Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.
Copy full download command Copying does not start a download. Paste and run the command on your device.
Where are the downloaded files? Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.
No response or an error? python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.
hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.
Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.
Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.
View the full download command 请开启浏览器脚本，或使用默认 Windows 教程并展开命令手动复制执行。
