📤 Release Hash: 732e8fcbf0f6501befa6f2593b17eb95 • 📅 Date: 2026-07-22 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking Efficient Embeddings with embeddinggemma-300m...Read More

📡 Hash Check: 471dc2091a1682ec31ffa06006eb5abd | 📅 Last Update: 2026-07-14 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Revolutionizing Language Models: A Breakthrough in Efficiency...Read More

🛠 Hash code: c3996cff808921d644aaf6246b8f018c — Last modification: 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Gemma-4-31B-it-qat-w4a16-ct: Unveiling the Large Language Model’s Potential The Gemma-4-31B-it-qat-w4a16-ct is a...Read More

💾 File hash: 45fa861e27ce6a9102649074178b8cb2 (Update date: 2026-07-19) Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Advancements in Large Language Capabilities The **Qwen3.6-35B-A3B-NVFP4** model...Read More

📊 File Hash: 79382abb225a7e008dbfb2cd3fc7644c — Last update: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlocking the Power of ESMC-600M: A Game-Changer in AI...Read More

📊 File Hash: f222329f88b8f1de2b4e602a09165e12 — Last update: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) 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 Power of Time...Read More

🛠 Hash code: 0a1a3326bce357b14fefd208d989fa0f — Last modification: 2026-07-17 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace / Ampere minimum) Advancements in Optical Character Recognition Technology The emergence of olmOCR-2-7B-1025-FP8 represents...Read More

🛡️ Checksum: 6bf848eccb3cf2f951640924d9d22b8e — ⏰ Updated on: 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking Efficient Document Processing with dots.mocr The...Read More

A standalone PowerShell module provides the fastest route to local installation. Carefully read and apply the steps described below. The installer auto-downloads and deploys the entire model pack. Once launched, the wizard detects your specs to configure the model for maximum efficiency. 🧾 Hash-sum — 046f924ba868e417dc46d2a620b7ab61 • 🗓 Updated on: 2026-07-12 Verify CPU: AVX2/AVX-512 instruction...Read More