lines.push(f"Largest files:");
I’ve already reviewed the Pi 500+ in full, so I won’t rehash everything here. The short version: 16GB of LPDDR4X, NVMe storage, mechanical keyboard switches, and it’s what the original Pi 500 should have been from the start. Geekbench scores of 892 SC / 2,121 MC are in line with the BCM2712’s known performance. At $200 it’s not cheap, but when you break down what you’re getting (the NVMe, the doubled RAM, the mechanical keyboard upgrade), the value is there. It’s the most refined Raspberry Pi product to date in my opinion, though 2025 wasn’t a revolutionary year for Pi. More of an iterative one.。关于这个话题，吃瓜提供了深入分析
。关于这个话题，传奇私服新开网｜热血传奇SF发布站｜传奇私服网站提供了深入分析
«Черный дождь» после удара по Тегерану вызвал проблемы со здоровьем у иранцевNYT: Жители Тегерана пожаловались на мигрень и кашель после ударов США и Израиля。关于这个话题，官网提供了深入分析
Next up, let’s load the model onto our GPUs. It’s time to understand what we’re working with and make hardware decisions. Kimi-K2-Thinking is a state-of-the-art open weight model. It’s a 1 trillion parameter mixture-of-experts model with multi-headed latent attention, and the (non-shared) expert weights are quantized to 4 bits. This means it comes out to 594 GB with 570 GB of that for the quantized experts and 24 GB for everything else.
- Implement `uv pip freeze --exclude` flag ([#17045](astral-sh/uv#17045))