Dev seeks MoE coding models for 6GB VRAM

The 6GB VRAM constraint is a notorious bottleneck for local AI, pushing developers toward clever architectures like MoE to squeeze performance out of consumer laptops.

• –MoE models like DeepSeek-Coder-V2-Lite are ideal here, fitting active parameters into 6GB VRAM while offloading the rest to the 32GB system RAM.
• –While RAM offloading increases inference latency, the reasoning upgrade over tiny dense models is usually worth the wait for coding tasks.
• –This thread highlights a massive unserved market for highly optimized, sub-7B coding models that can run fully in VRAM on budget gaming laptops.