Local AI Test: Gemma 4 vs Qwen3.8 for Edge and Single-GPU Deployment
lmoroney · x · 2026-08-25
The article evaluates practical AI model choices for running locally on various hardware tiers. For edge devices like phones and Raspberry Pis, Gemma 4 remains the practical default for teaching and offline deployment due to its Apache 2.0 license and versatile parameter sizes (E2B/E4B/26B MoE/12B Multimodal), with concrete performance benchmarks provided for the Pi 5. For desktop setups with 24-32GB VRAM, Meta's Muse Glimmer (30B, optimized for tool use and screenshot understanding) and Alibaba's Qwen3.8-27B (27B multimodal with 262k context) have significantly raised the ceiling for local agents, making complex workflows feasible on consumer GPUs.
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