gemma-4-E4B-it-MLX-4bit via WebGPU (Browser) One-Click Setup

A standalone PowerShell module provides the fastest route to local installation.

Please follow the instructions listed below to get started.

The installer auto-downloads and deploys the entire model pack.

The engine benchmarks your hardware to apply the most effective operational mode.

🔗 SHA sum: f9510953fc62b52d080008c1ee4e9fba | Updated: 2026-07-04
  • CPU: multi-threading optimized for fast prompt processing
  • RAM: enough space for background apps and OS overhead
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The **gemma-4-E4B-it-MLX-4bit** model represents a significant advancement in open‑source language models, combining the gemma architecture with MLX optimization for ultra‑low latency inference. Built on a 4‑bit quantized backbone, it delivers high performance while consuming only a few megabytes of memory, making it ideal for edge devices and mobile applications. With **4.5 B** parameters and a context window of 8K tokens, the model balances accuracy and efficiency, achieving state‑of‑the‑art results on benchmark suites. The integrated MLX compiler further accelerates inference by optimizing kernel execution and reducing overhead, resulting in sub‑10ms response times on consumer hardware. Below is a quick comparison of key specifications that highlight why this model stands out in the current landscape.

Parameters 4.5 B
Quantization 4‑bit
Context Length 8K tokens
Inference Speed <10 ms
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