Apple M1 + 8GB RAM | Perfect Performance Run
这几天我一直在探索本地大模型在我的电脑上的运行情况，发现了一个令人惊喜的结果！经过多次测试和对比，最终我发现 Qwen3.5-4B 在我的电脑上运行堪称完美。
I've been exploring the performance of local LLMs on my computer recently and found a surprising result. After multiple tests, I discovered that Qwen3.5-4B runs perfectly on my machine.
我尝试下载安装运行了 Google 的本地大模型以及多款其他开源模型，但受限于硬件配置，很多模型都无法流畅运行。经过多次测试和对比，最终发现 Qwen3.5-4B 在我的电脑上运行堪称完美！无论是速度还是效果都令人惊叹。
I tried installing and running Google's local LLMs as well as other open-source models, but many failed to run smoothly due to hardware limitations. After multiple tests, I found Qwen3.5-4B runs perfectly on my machine! Both speed and performance are amazing.
Qwen3.5-4B is the perfect choice for an 8GB MacBook Air! It runs locally without needing a network connection.
Qwen3.5-4B is the perfect choice for an 8GB MacBook Air! It runs locally without needing a network connection.
我很好奇，如果是 16GB 内存的 MacBook，岂不是可以运行更大参数、更强大的本地大模型？我的 8GB 配置已经能完美运行 Qwen3.5-4B，这让我想到一个重要的启发：即使是普通的 Apple MacBook Air（8GB 内存），也能通过本地部署完美运行大模型！
I wonder, if I had a 16GB RAM MacBook, wouldn't I be able to run larger and more powerful local models? My 8GB config runs Qwen3.5-4B perfectly, leading me to an important realization: Even standard Apple MacBook Airs (8GB) can run large models perfectly via local deployment!
最令人惊喜的是，我尝试在无网络环境下运行本地大模型。速度飞快，完全不受网络限制，数据隐私保护，所有处理都在本地完成。
The most surprising part is running local LLMs without an internet connection. Speed is incredibly fast, completely independent of network limits, with full data privacy protection.