Titanium3-DeepSeek-V3.1-Terminus
收藏魔搭社区2025-12-05 更新2025-12-06 收录
下载链接:
https://modelscope.cn/datasets/sequelbox/Titanium3-DeepSeek-V3.1-Terminus
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资源简介:
**[Click here to support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
**Titanium3-DeepSeek-V3.1-Terminus** is a dataset focused on architecture and DevOps, testing the limits of [DeepSeek V3.1 Terminus's](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus) architect and coding skills!
This dataset contains:
- 27.7k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using [DeepSeek V3.1 Terminus](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus) in reasoning mode:
- 20k selected technical expertise prompts from [sequelbox/Titanium2.1-DeepSeek-R1](https://huggingface.co/datasets/sequelbox/Titanium2.1-DeepSeek-R1) focused on architecture (problem solving, scenario analysis, coding, full SDLC) and DevOps!
- 7.7k new high-difficulty DevOps-focused code prompts, focused on challenging code-reasoning tasks in Terraform, Ansible, Kubernetes, Docker, Prometheus, GitOps, cloud automation, service mesh, and more!
- Responses demonstrate the architecure, coding, DevOps, and reasoning capabilities of DeepSeek's 685b parameter V3.1 Terminus model in reasoning mode.
**Responses have not been edited at all:** the Titanium dataset strives to accurately represent the V3.1 model. Potential issues may include inaccurate answers and infinite thought loops. Titanium 3 is presented as-is to be used at your discretion.
Users should consider applying their own sub-filtering and manual examination of the dataset before use in training.
Do as you will.
**[点击此处支持我们的开源数据集与模型发布!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
**Titanium3-DeepSeek-V3.1-Terminus** 是一款聚焦架构设计与DevOps(开发运维)领域的数据集,旨在测试[DeepSeek V3.1 Terminus](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus)的架构设计与编码能力边界!
本数据集包含如下内容:
- 27.7k条人工合成生成的架构、云计算与DevOps领域提示词,所有回复均通过[DeepSeek V3.1 Terminus](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus)的推理模式生成:
- 从[sequelbox/Titanium2.1-DeepSeek-R1](https://huggingface.co/datasets/sequelbox/Titanium2.1-DeepSeek-R1)中遴选的20k条专业技术提示词,聚焦架构设计(问题解决、场景分析、编码、完整软件开发生命周期(SDLC))与DevOps领域!
- 7.7k条全新的高难度DevOps导向代码提示词,聚焦Terraform、Ansible、Kubernetes、Docker、Prometheus、GitOps、云自动化、服务网格等领域的挑战性代码推理任务!
- 上述回复充分展现了DeepSeek旗下6850亿参数的V3.1 Terminus模型在推理模式下的架构设计、编码、DevOps与逻辑推理能力。
**所有回复均未经任何编辑**:本Titanium数据集旨在准确还原V3.1模型的原生输出表现。数据集可能存在回答不准确、无限思维循环等潜在问题。Titanium 3以现状发布,使用者可自行决定使用方式。
用户在将该数据集用于模型训练前,应考虑自行进行二次筛选与人工审核。
可自由使用。
提供机构:
maas
创建时间:
2025-10-09



