Weights

🖹 HASH-SUM: 71abf2524cb7c58f1178e3abcd9bc0e4 | 📅 Updated on: 2026-07-15 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: […]

💾 File hash: 6e519fc265593a9d26a71674bf55211c (Update date: 2026-07-13) Verify Processor: high single-core performance needed for token latency RAM: enough space for

🔍 Hash-sum: d1d194928d236593cabc664f546cfc4e | 🕓 Last update: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: at least

To install this model locally in the shortest time, opt for a direct curl execution. Please adhere to the deployment

If you want the fastest local installation for this model, use standard pip packages. Follow the guidelines below to continue.

To get this model running locally in no time, utilize the built-in WSL tools. Please adhere to the deployment steps

If you want the fastest local installation for this model, use standard pip packages. Just follow the guidelines provided below.

The shortest path to running this model is by activating Hyper-V features. Carefully read and apply the steps described below.

The fastest way to get this model running locally is via Optional Features. Kindly follow the on-screen instructions below. The

If you need a near-instant local setup, just fetch files via a basic curl request. Refer to the instructions below