The fastest way to get this model running locally is via Optional Features.

Execute the commands and steps outlined below.

The script takes care of fetching the multi-gigabyte model weights.

The automated script takes care of everything, tailoring the setup to your specs.

🧩 Hash sum → d2df171c28c2f234b4dfcdc82cafd579 — Update date: 2026-06-30 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

gemma-4-26B-A4B-it-QAT-MLX-4bit is a large language model built on the Gemma architecture with 26 billion parameters and optimized for instruction following. It leverages A4B design principles to improve inference efficiency while maintaining high fidelity in generation tasks. Through quantized aware training (QAT) and MLX optimizations, the model achieves compact 4‑bit representation without significant loss in accuracy. The resulting model excels in multilingual understanding, reasoning, and code generation, making it suitable for both research and production environments. Its reduced memory footprint enables deployment on consumer hardware and edge devices, broadening accessibility for developers. A quick reference of its core specs is provided below.

• Installer pre-configuring Qwen2.5-Coder models for offline IDE plugins
• gemma-4-26B-A4B-it-QAT-MLX-4bit Windows 11 5-Minute Setup FREE
• Script downloading custom face-restoration models for local post-processing
• gemma-4-26B-A4B-it-QAT-MLX-4bit PC with NPU No-Internet Version Dummy Proof Guide FREE
• Script downloading lightweight models tailored for single-board computers
• How to Setup gemma-4-26B-A4B-it-QAT-MLX-4bit on Your PC No Python Required Step-by-Step Windows FREE
• Installer configuring secure multi-user access to local LLM APIs
• How to Deploy gemma-4-26B-A4B-it-QAT-MLX-4bit via WebGPU (Browser) Full Speed NPU Mode No-Code Guide
• Setup tool linking local models to offline home automation smart servers
• gemma-4-26B-A4B-it-QAT-MLX-4bit PC with NPU Zero Config