<h1 id="flux.1-heavy-17b-gguf-quantizations-am3et6721">Flux.1-Heavy-17B GGUF Quantizations</h1><h2 id="major-resource-optimization-6mqk0x54i">🚀 Major Resource Optimization</h2><p><img src="https://huggingface.co/city96/Flux.1-Heavy-17B/resolve/main/raw/img_train_recovery.jpg" alt="Training" /></p><p><strong>Original Requirements:</strong></p><ul><li><p>40GB VRAM</p></li><li><p>80GB System RAM</p></li></ul><p><strong>Now Accessible With:</strong></p><ul><li><p>As low as 8GB VRAM</p></li><li><p>32GB System RAM</p></li></ul><h2 id="description-swaz6bcad">Description</h2><p>These are memory-optimized GGUF quantizations of the original Flux.1-Heavy-17B model (by city96), making it accessible for systems with lower VRAM requirements. The original model is a 17B parameter self-merge of the 12B Flux.1-dev model, notable for being one of the first open-source 17B image models capable of generating coherent images.</p><h2 id="available-versions-b92in3gfr">Available Versions</h2><h3 id="q6_k-version-m5eme41t7">Q6_K Version</h3><ul><li><p>VRAM Requirement: 16GB</p></li><li><p>Best balance of quality and performance</p></li><li><p>Recommended for users with RTX 3080/3090 or similar GPUs</p></li></ul><h3 id="q5_k_m-version-cejh1dwje">Q5_K_M Version</h3><ul><li><p>VRAM Requirement: 12GB</p></li><li><p>Good quality with reduced memory footprint</p></li><li><p>Ideal for RTX 3060 Ti/3070/2080 Ti users</p></li></ul><h3 id="q3_k_l-version-y7jw1dhlz">Q3_K_L Version</h3><ul><li><p>VRAM Requirement: 8GB</p></li><li><p>Most memory-efficient version</p></li><li><p>Enables running on mid-range GPUs like RTX 3060/2060 Super</p></li></ul><h2 id="key-features-eur60nnam">Key Features</h2><ul><li><p>Maintains the core capabilities of the original Flux.1-Heavy-17B model</p></li><li><p>Optimized for different VRAM configurations</p></li><li><p>Enables broader hardware compatibility without requiring high-end GPUs</p></li><li><p>Smooth operation at specified VRAM levels</p></li><li><p>Dramatically reduced resource requirements compared to original model</p></li></ul><h2 id="installation-0k3dhom08">Installation</h2><ol><li><p>Download the preferred quantization version</p></li><li><p>Place the GGUF file in your models directory</p></li><li><p>Update your configuration to point to the new model file</p></li></ol><h2 id="credits-7o3e1p6bk">Credits</h2><ul><li><p>Original model: city96 (Flux.1-Heavy-17B)</p></li><li><p>Base architecture: Flux.1-dev (12B parameter model)</p></li></ul><h2 id="notes-7px8unib0">Notes</h2><ul><li><p>Performance may vary depending on your specific hardware configuration</p></li><li><p>Choose the quantization level based on your available VRAM and quality requirements</p></li><li><p>Lower quantization levels may show slight quality degradation compared to the original model</p></li></ul>

Flux.1-Heavy-17B(GGUF)

flux1Heavy17BGGUF_q5KM.gguf

Files with SHA256: 438586c0ea0337411923929f7b4f414737d6b25f54b7edb1056dab18ad01d020