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Gemma 4 for Telephony: I Replaced Two AI Models With One in My Voice Phone Agent — Until I Switched to Chinese

I replaced faster-whisper + Gemma 4 with a single multimodal model that hears callers directly. 100% reply accuracy in English, 93% in French, 0% in Chinese. Benchmark data, code, and the architecture change for a SIP phone agent.

12 min readwengjiyao.hashnode.dev

Thurmon DemichMay 7

Best GPU for Gemma 4 in 2026: E2B to 31B Guide

Best GPUs for running Gemma 4 locally — all 4 variants from E2B to 31B Dense. VRAM needs, MoE efficiency, and top picks.

6 min readbestgpuforllm.hashnode.dev

Hoàng Anh Nguyễn BáApr 14

I Ran Gemma 4 on Everything — From My MacBook to an H100. Here's What I Learned

Real-world experience running Gemma 4 models across different hardware. VRAM requirements, throughput benchmarks, deployment configs, and fine-tuning

7 min readhoazgazh.hashnode.dev

Alan WestApr 6

Gemma 4 Runs on a Raspberry Pi. I Tested It.

Hands-on guide to running Google's Gemma 4 E2B and E4B edge models on a Raspberry Pi and in the browser via WebGPU -- with real latency numbers, 128K context benchmarks, and honest comparisons to Phi-3-mini and other edge models.

6 min readalan-west.hashnode.dev

Nishchay KaushikApr 2

Top 4 ways to Run LLM locally on Android and iOS

Stop paying for AI subscriptions and regain your privacy. Learn the top 4 ways to run Large Language Models (LLMs) like Llama, Gemma, and Qwen locally

5 min readnkaushik.in

Nishchay KaushikFeb 13

How to Run LLM Models on Old Android Devices Locally

Learn how to run local LLMs on Android in 2026. Use Termux and llama-server to run Gemma 4 & Turn your old phone into a private AI powerhouse.