🤖 Best LLMs for Different VRAM Capacities
A selection of current LLMs optimized for different amounts of video memory (VRAM) has been presented. In the 8–12 GB segment, LiquidAI LFM2.5-8B-A1B is highlighted; in the 16–32 GB segment, Google's multimodal Gemma 4 12B is featured. For larger resources (32–96 GB), Nex-N2-Mini and Qwopus 3.6-27B are suitable, while for ultra-powerful systems (384–768 GB), Nex-N2-Pro and Macaron V1 Preview-749B are recommended.
🌍 Expanding the accessibility of high-performance models through optimized architectures allows powerful AI agents to be run on consumer and semi-professional hardware.
👤 It is now possible to precisely select a model based on the available graphics card — from compact solutions for laptops to giant systems for research tasks.
Source 1: https://www.liquid.ai/blog/lfm2-5-8b-a1b Source 2: https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/