🖹 HASH-SUM: 9e0165ec75d1f044104203dfc7fc1ecb | 📅 Updated on: 2026-07-12VerifyProcessor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k...
🛡️ Checksum: e204894989156725a53bd226c97e3bc4 — ⏰ Updated on: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk...
Running this model locally is fastest when deployed through a PowerShell script. Check out the detailed setup guide below to begin. The download...
For an instant local deployment, running a pre-configured shell script is ideal. Proceed by following the technical instructions below. All large files and...
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