Laguna S 2.1 Runs on 3 RTX 3090s, Quantization Solved

A user loaded Laguna S 2.1, a 118 billion parameter Mixture-of-Experts model, onto three RTX 3090s. The setup used Unsloth's UD-IQ4_XS quantization, a 57GB file that fit within the 72GB of VRAM across the three cards. Early community warnings about broken thinking mode and hallucinated facts did not materialize. The user said each problem had a workaround.

The original HuggingFace weights, BF16 and FP8, required 75GB to 236GB, too much for consumer hardware. The quantization option made the model runnable locally. The user's experience suggests that large MoE models can be deployed on consumer GPUs with the right quantization. This could affect demand for data center inference if local alternatives become more viable. NVIDIA's RTX 3090, though discontinued, remains a popular choice for AI hobbyists.