📄 Hash Value: dcadd1d58ab3fbb1244aac57dc6e4681 | 📆 Update: 2026-07-20 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to
July 23, 2026
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📄 Hash Value: dcadd1d58ab3fbb1244aac57dc6e4681 | 📆 Update: 2026-07-20 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to
🔧 Digest: aaaaae879a6525c7980812f20f7114ef • 🕒 Updated: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth
📘 Build Hash: d9c45c25f7a22fb5ac3169a6460e0382 • 🗓 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths
📊 File Hash: cc4b4135cf97b803fbef145c1057a0af — Last update: 2026-07-17 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models
📘 Build Hash: 8531c2d6f985c4b3864195d9b4811de0 • 🗓 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:
🧾 Hash-sum — bfd66763d98a3e0df5f0911d5cdae899 • 🗓 Updated on: 2026-07-11 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required: 16 GB absolute minimum
🔗 SHA sum: a945157422a8870dfad4d3341d41dcad | Updated: 2026-07-14 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory
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For the fastest local setup of this model, enabling Windows Features is best. Proceed by following the technical instructions below. The tool automatically synchronizes and
A standalone PowerShell module provides the fastest route to local installation. Check out the detailed setup guide below to begin. No manual effort needed; the