HuggingFace

🧩 Hash sum → 487f8191f6cfa7602e23d08c44003ed1 — Update date: 2026-07-18 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB free space for full FP16 weights storage GPU: RTX

🧩 Hash sum → f39951346b50b08e07b3c4bc98011845 — Update date: 2026-07-19 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder Graphics: stable 30+ tk/s at

📦 Hash-sum → 20412c3e0b47325daeb340e8f9fd592f | 📌 Updated on 2026-07-22 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: required: 16 GB absolute minimum for small models Disk Space: 80 GB NVMe SSD required for fast model weights loading

🔧 Digest: 36b6e3878fb7f32dcadec8d5fac6a495 • 🕒 Updated: 2026-07-15 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphics: CUDA Compute Capability 8.0+ required

📘 Build Hash: 186c4360ef695357852cf2a726be14a3 • 🗓 2026-07-21 Verify Processor: next-gen chip for heavy context processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage:100 GB free space for HuggingFace cache folder Graphic Processor: RTX 3060 or RX 6600 for minimum

🖹 HASH-SUM: 1f01ab86ed66b272f130f43147f73053 | 📅 Updated on: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: RTX 4080