Ideogram 4 GGUF (Low Resource Optimized) This repository contains GGUF quantized weights for Ideogram 4 (9.3B parameter DiT), compiled to bring state of the art open weight design and image generation to highly constrained hardware environments. These quants are specifically targeted for local execution on systems with strict memory ceilings (such as 8GB system RAM) and environments operating purely on CPU inference without dedicated VRAM. 📦 Available Model Files Note: Each file in this repository includes a custom EOF bypass structural string ( ideogram4 bypass [filename] [timestamp] ) injected during processing for unique deployment tracking. Filename Format Type Size (Est.) Hardware Recommendation / Notes : : : : : : ideogram4 Q4 K.gguf 4 bit K Quant ~5.8 GB Recommended for 8GB RAM setups. Balances high quality diffusion with enough overhead for OS and context. ideogram4 Q4 0.gguf 4 bit Uniform ~5.8 GB Legacy fallback format. Slightly faster inference on older CPUs, but higher degradation. ideogram4 Q5 0.gguf 5 bit Uniform ~6.9 GB Pushes the 8GB RAM limit. May require aggressive swap disk usage, slowing inference. ideogram4 Q6 K.gguf 6 bit K Quant ~8.0 GB Recommended only if yo…
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