OpenSeek-Small-v1-SFT

BAAI/OpenSeek-Small-v1-SFT

Publisher北京智源人工智能研究院（BAAI）Verified

Download access requirementsMirror available

本模型采用Octothinker架构构建强大的推理能力。训练分为两个阶段：首先在数学语料库的2000亿token上进行稳定的中期训练，随后进行200亿token的衰减训练。之后在Infinity-Instruct数据集上进行微调，以实现卓越的指令跟随能力。该模型作为开源基线，供未来实验使用，例如通过强化学习增强小模型的推理能力。模型架构与OpenSeek-Small-v1相同。该模型专注于数学推理和指令跟随任务。输出：针对指令的响应或数学问题的解答

Other Models

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

模型概述

主要能力

该模型专注于数学推理和指令跟随任务。

输入输出

输入：自然语言指令和数学问题

输出：针对指令的响应或数学问题的解答

评估结果

|------|-------|----------|---------|-------------------|------|

| Pass@1 | 20.698 | 13.100 | 3.470 | 2.741 | 10.002 |

| Pass@4 | 41.768 | 19.100 | 8.415 | 4.997 | 18.570 |

| Pass@8 | 51.838 | 19.599 | 11.680 | 5.185 | 22.075 |

License

OpenMDW 1.0

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。

Problem with the information or download?

Pinned version · Multiple download options

OpenSeek-Small-v1-SFT model download

Download the full repository or choose a version or file.

许可待确认

下载入口不代表获得修改、分发或商用授权。使用前请查阅原仓库说明、LICENSE 或联系作者确认；闲社未验证模型运行效果。

查看原作者说明与许可 →

Download tools · More than GGUF

Use the Hugging Face download tool to obtain BAAI/OpenSeek-Small-v1-SFT. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

File manifest available for the pinned version
Files: 13
Repository formats: json / safetensors
Precision in filenames: not explicitly marked
Supporting files: documentation or licenses, configuration, and tokenizer files

This information comes from the file manifest. Not every file is a separate model; weights have not necessarily been downloaded, verified or tested.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 1515c184e6fe4a91e6061be513a79d607e8787cb. Downloads files only; does not start the model.

Choose a download source

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

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.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

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.

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_hub

Already installed? Continue to step 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.

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

$env:HF_ENDPOINT = "https://huggingface.co"
$env:HF_HUB_DISABLE_IMPLICIT_TOKEN = "1"
$env:HF_HUB_DISABLE_XET = "1"
hf download "BAAI/OpenSeek-Small-v1-SFT" --revision "1515c184e6fe4a91e6061be513a79d607e8787cb" --local-dir "./models/BAAI--OpenSeek-Small-v1-SFT"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.