Category: Ollama

🧾 Hash-sum — 2a7940394224f5458aee6cc3a6c0e275 • 🗓 Updated on: 2026-07-20 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unveiling the Qwen3.5-9B-NVFP4: A Revolutionary… Continue reading Qwen3.5-9B-NVFP4 5-Minute Setup

🔍 Hash-sum: 6d69222e60b6739e2752f478c854c665 | 🕓 Last update: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unveiling the Power of Gemma-4-E4B: A Revolutionary… Continue reading Deploy Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Dummy Proof Guide

🔒 Hash checksum: c121b79d6e4f60cf53dc2a79111c4459 • 📆 Last updated: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Power of PaddleOCR-VL-1.6-GGUF: Revolutionizing Vision-Language Recognition The… Continue reading How to Setup PaddleOCR-VL-1.6-GGUF on AMD/Nvidia GPU

🛡️ Checksum: b8d33045f33a06e9e1a20fb5184de8d1 — ⏰ Updated on: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Overview of Qwen3-ASR-1.7B Model The Qwen3-ASR-1.7B model is a state-of-the-art… Continue reading Install Qwen3-ASR-1.7B on Copilot+ PC Quantized GGUF

🗂 Hash: 88dfa82976122ca1a2c39a38b54efda4 • Last Updated: 2026-07-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unveiling the Power of Rio-3.0-Open-Mini The Rio-3.0-Open-Mini model is… Continue reading How to Autostart Rio-3.0-Open-Mini Using Pinokio Quantized GGUF 2026/2027 Tutorial

🛠 Hash code: 9bb78e6934408ca54a1f9712b08f14c0 — Last modification: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Storage:100 GB free space for HuggingFace cache folder GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the Qwen3.5-9B-AWQ-4bit Model: A Breakthrough in Open-Source Language Models… Continue reading Quick Run Qwen3.5-9B-AWQ-4bit Locally (No Cloud) Easy Build

📘 Build Hash: a0a741d58a0d347f6d3eea0eb4e5d75e • 🗓 2026-07-18 Verify Processor: high single-core performance needed for token latency RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unlocking Enterprise Language Understanding with Kimi-K2.6-NVFP4 The Kimi-K2.6-NVFP4 model represents… Continue reading Install Kimi-K2.6-NVFP4 PC with NPU No Python Required For Beginners Windows