Model overview
我们基于 **Qwen2.5-Instruct 系列** 与 **DeepSeek-R1 系列** 模型，结合自建安全任务集与安全知识库， 在 **8台A100 GPU** 集群上持续训练一周以上，完成大规模预训练 + 指令微调 + 强化学习， 显著提升模型在安全场景中的**理解、推理与响应能力**。 我们已构建了一个超大规模、结构完备的网络安全语料库，总量超过 **5TB**、共计 **106,721 个原始文件**，其中超过 **40% 内容为人工精选与结构化处理**。私有数据部分系统整合了具备 **70+ 字段 / 14 类结构标签体系** 的安全数据资源，经过统一清洗、语义标注与重构，构建出 **数百亿 Tokens 级**的高质量语料，为大模型深度推理能力提供坚实支撑。 为全面评估 SecGPT 的安全实战能力，我们构建了一套覆盖**安全证书问答、安全通识、编程能力、知识理解与推理能力**的综合评估体系，主要采用以下标准化数据集：CISSP、CS-EVAL、CEVAL、GSM8K、BBH。
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。