Model details
模型介绍 中文整理 SDLM-3B-D8
Model use case SDLM（Sequential Diffusion Language Model，顺序扩散语言模型）是一种用于文本生成的语言模型，旨在廉价地激发扩散模型的并行预测能力。
主要能力
SDLM通过限制预测范围到固定块长度，并使用最长前缀解码方法强制执行解码顺序，从而减少分布偏移。该方法在显著提高预测效率的同时确保生成质量，可视为自回归范式的进一步泛化。模型采用顺序块级掩码预测方法，利用位置索引较低的token预测通常受益于更可靠上下文信息的观察结果，减少基于扩散的生成中的误差累积。
性能表现
在长格式基准测试中，SDLM提供更强的性能且解码速度显著更快。推理速度比同类自回归模型快约2倍，同时保持相当的准确率；与其他扩散语言模型相比，实现最高5倍加速。不同置信度阈值下可在性能和速度之间实现可控权衡。
输入输出
输入：文本提示
输出：生成的文本
运行要求 需要安装相关依赖包。需要从指定位置下载模型推理脚本。
基本用法 提供使用transformers库运行SDLM-3B-D8的示例代码。
限制 模型性能受置信度阈值设置影响，需根据实际需求在速度和生成质量之间进行权衡。
License 如在研究中使用该项目，请考虑引用相关论文。
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
SDLM-3B-D8 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。
