请问HN：关于专业化本地LLM/VLM的反馈
我们推出了 causa™，这是一款能够在苹果设备上完全离线运行和协调大型语言模型（LLM）的应用程序（即将支持 VLM）。
我们正在收集反馈，了解社区认为哪些专业或微调模型在设备端推理中最有价值。我们已经支持主要的通用模型系列（如 GPT-OSS、Llama、Mistral 等），现在正专注于针对特定任务微调的领域特定模型。
<p>示例：
• JetBrains 的 Mellum 系列 — 针对软件工程进行了优化
• gpt-oss-safeguard — 专为政策推理和人工智能安全量身定制
<p>如果您知道其他高质量的专业模型（最好是开放权重），可以从移动部署中受益，我们非常欢迎您的建议。
查看原文
We’ve launched causa™, our application that orchestrates and runs LLMs fully offline across Apple devices (VLM support coming soon).
We’re collecting feedback on which specialized or fine-tuned models the community would find most valuable for on-device inference. We already support the main general-purpose families (GPT-OSS, Llama, Mistral, etc.) and are now focusing on domain-specific models fine-tuned for targeted tasks.<p>Examples:
• Mellum series by JetBrains — optimized for software engineering
• gpt-oss-safeguard — tailored for policy reasoning and AI safety<p>If you know of other high-quality specialized models (preferably with open weights) that could benefit from mobile deployment, we’d love your input.