ghfind 采用 MiniCPM-V 4.7 作为主模型
🔍 What does your GitHub profile say about your contributions?
开源 GitHub 评分与吐槽平台 ghfind 日访问量 12K，现已将 MiniCPM-V 4.7 API 作为主模型。用户输入 GitHub 用户名即可获得 0–100 价值与信任分、五档评级之一、基于公开数据的犀利吐槽和改进建议，六维评分与十项红旗信号可区分持续贡献与刷星、机器人活动和 PR farming。开发者称单次分析输入 30–50KB 并需输出结构化 JSON，MiniCPM-V 4.7 在这些任务上成功率接近 100%。
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🔍 What does your GitHub profile say about your contributions?
Meet ghfind, an open-source GitHub scoring and roasting platform with 12K daily visits, now powered by our MiniCPM-V 4.7 API as its main model.
💯 Enter a GitHub username to get a 0–100 value & trust score, one of five verdict tiers, a sharp roast grounded in public data, and practical suggestions for improvement.
Six scoring dimensions and ten red-flag signals help distinguish sustained contributions from inflated stars, bot activity, and PR farming. 🔥
🧠 Behind the roast is a demanding workload: 30–50KB of input per analysis, code and contribution history to interpret, and structured JSON to generate. The developer reports near-100% success with MiniCPM-V 4.7 on these tasks.
🚀 What will you build with MiniCPM-V 4.7? We welcome your apps, demos, and real-world use cases. Share your project and tag @OpenBMB!
#MiniCPM #OpenBMB #OpenSource #GitHub #AI