GGayatri Panse·Oct 31Epoch 2: It Serves. Does It Train?Fine-tuning Gemma 4 with Unsloth on two AMD Radeon RX 7900 XTX cards, and how much of the pain was actually AMD's Slug34 min read·gradientdecent.hashnode.dev2
SShakiran Nannyombi·Jul 21Building a Hackathon from the Ground UpOur Build with Gemma Journey at Makerere University4 min read·shakiran.hashnode.dev
MMarc Wojcik·Jun 6A 12B You Can Run on a Laptop: Local Inference Grows UpA model small enough for a laptop just changed the local-vs-cloud math for agents16 min read·blog.thecgaigroup.com
HHemaN·May 19From Test Cases to Prompts: How I Built an AI Receipt Scanner as a Quality Engineer with No Dev BackgroundA Quality Engineer's honest account of building a real AI-powered app in one week14 min read·hema-sdet.hashnode.dev
PPhaneesh Yalavarthi·May 11Local AI: Running Gemma 4 with llama.cpp and DockerLocal AI: Running Gemma 4 with llama.cpp and Docker1 min read·phaneesh.hashnode.dev
JJangwook Kim·May 9Gemma 4 MTP Drafters: How Multi-Token Prediction Delivers 2x+ Faster Local InferenceOn May 5, 2026, Google released Multi-Token Prediction (MTP) drafters for the Gemma 4 family. The headline claim — up to 3x inference speedup — is technically accurate on specific hardware. The more realistic number for most developer setups is 1.7x ...6 min read·effloow.hashnode.dev
강강문규·May 6Gemma 4 MTP Drafter on DGX Spark: 2.89x Speedup for Dense 31B — No Quality LossAn 870 MB drafter model turned Dense 31B from 6.5 → 18.8 tok/s. No model swap, no training, no quality degradation. If you have a DGX Spark, there's no reason not to use this. Key Results Model Fra8 min read·devsnack.hashnode.dev
AAnkita Patil·May 4Moving the Brains to the Metal: My Local AI Setup with Gemma 4Stop paying for API tokens. Learn how to run Gemma 4 locally with Ollama and Aider on a constrained hardware setup.3 min read·blog.ankitapatil.dev
AAnup Karanjkar·May 2Top 5 AI Tools Worth Trying in April 2026 (That Aren't ChatGPT or Claude)Cursor 3, Lovable, Google Gemma 4, OpenClaw, and Google Antigravity: five AI tools that are reshaping developer workflows in April 2026 — with real usage context.8 min read·wowhow.hashnode.dev
AAnup Karanjkar·May 2Google Gemma 4: Apache 2.0 Open Models That Run on Your Laptop (2026)Google Gemma 4 launches April 2026 under Apache 2.0 — 4 model sizes from smartphone to 31B Dense, benchmarks beating Llama 4 Maverick on coding and math.10 min read·wowhow.hashnode.dev
