Max-and-Omnis releases GGUF builds of REAP-pruned Nemotron-3-Super

Strong niche release for LocalLLaMA users who care about squeezing frontier-ish reasoning quality into local hardware.

• –The headline is not the model itself so much as the packaging: GGUF makes it immediately relevant to local inference workflows.
• –The post frames this as a continuation of a more technical earlier release, so this looks like an iteration on an existing model line rather than a brand-new base model.
• –The release is credible for the audience because it includes multiple quantization targets and a concrete motivation: local deployment on high-end consumer/prosumer GPUs.
• –The strongest hook is the combination of math-tuned performance and practical runtime formats, which is exactly what the LocalLLaMA crowd tends to reward.