你可以根据自己电脑配置在Hugging Face上筛选能跑的模型，省下API钱，还能自己掌控模型，很实用。
斯坦福大学研究显示，71.3% 的ChatGPT查询可由本地模型准确回答。Hugging Face CEO Clement Delangue指出，企业AI工作负载可免费本地运行，避免高昂API成本及模型被收回风险。Hugging Face新增按本地硬件（如M5 24GB）过滤800k+公共模型的功能，支持通过llamacpp轻松使用。
A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local ...
A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local model. I suspect a major part of enterprise AI workloads could be run locally too for free (compared to the massive costs of frontier API cost). Also, it reduces the risk of these workloads being taken away from you because you own the models instead of renting them - which sounds like a good idea these days haha. That's why we're introducing the ability for everyone to filter AI models on @huggingface based on your local hardware. For me, there are 800k+ public models that fit on my M5 24GB and that I can use easily thanks to llamacpp. Let's go local AI! 💬 19 🔄 20 ❤️ 119 👀 7607 📊 34 ⚡