📄 Hash Value: e4521396c1f701dc12297ca5b0a98a43 | 📆 Update: 2026-07-22 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ re...
💾 File hash: ec7e9632b56c00be03e5a145bdde4fed (Update date: 2026-07-22) Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support needed for F...
📊 File Hash: 67cbe4483e4192b8e2545c6e64653858 — Last update: 2026-07-18 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support neede...
📎 HASH: ad4a8a1b1faf0112d678f540f8e576d1 | Updated: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quanti...
📤 Release Hash: 67088ebd6c27d3a1738ed09758ada574 • 📅 Date: 2026-07-17 Verify Processor: next-gen chip for heavy context processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace / Ampere minimu...
🔗 SHA sum: e01acdca9eecb906e27b551a0f360664 | Updated: 2026-07-17 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Tail...
📦 Hash-sum → 66cc2b962e76afd734562f31f15f4672 | 📌 Updated on 2026-07-12 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk Space:70 GB free space for full FP16 weights storage GPU: high memory bandwidth GPU for next-gen local A...
📊 File Hash: 301f1715c2361a45e373aeb17e4381db — Last update: 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support needed for ...
Running this model locally is fastest when deployed through a PowerShell script. Make sure to follow the instructions below. The installer automatically pulls the model (could be multiple GBs). The configuration wizard runs silently to set up the model for peak performance. 🔧 Digest: 1c0d5136cf26...