--- title: "#gemma-4 articles | Hashnode" description: "Explore 20 articles tagged #gemma-4 on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/gemma-4" --- Tag # #gemma-4 20 posts · 0 followers [Gayatri Panse](https://hashnode.com/@gradientnotes) · [Oct 31](https://hashnode.com/posts/epoch-2-it-serves-does-it-train/6ae5a81fd7f0b3f843c8bae8) ### [Epoch 2: It Serves. Does It Train?](https://gradientdecent.hashnode.dev/epoch-2-it-serves-does-it-train?utm_source=hashnode&utm_medium=feed) Fine-tuning Gemma 4 with Unsloth on two AMD Radeon RX 7900 XTX cards, and how much of the pain was actually AMD's Slug 34 min read · [gradientdecent.hashnode.dev](https://gradientdecent.hashnode.dev/epoch-2-it-serves-does-it-train?utm_source=hashnode&utm_medium=feed) [Shakiran Nannyombi](https://hashnode.com/@shakiran) · [Jul 21](https://hashnode.com/posts/building-a-hackathon-from-the-ground-up/6a5f35f4e2485c2b1afcf4ff) ### [Building a Hackathon from the Ground Up](https://shakiran.hashnode.dev/building-a-hackathon-from-the-ground-up?utm_source=hashnode&utm_medium=feed) Our Build with Gemma Journey at Makerere University 4 min read · [shakiran.hashnode.dev](https://shakiran.hashnode.dev/building-a-hackathon-from-the-ground-up?utm_source=hashnode&utm_medium=feed) [Marc Wojcik](https://hashnode.com/@thecgaigroup) · [Jun 6](https://hashnode.com/posts/gemma-4-local-inference-agents/6a248fe5893102599e491b48) ### [A 12B You Can Run on a Laptop: Local Inference Grows Up](https://blog.thecgaigroup.com/gemma-4-local-inference-agents?utm_source=hashnode&utm_medium=feed) A model small enough for a laptop just changed the local-vs-cloud math for agents 16 min read · [blog.thecgaigroup.com](https://blog.thecgaigroup.com/gemma-4-local-inference-agents?utm_source=hashnode&utm_medium=feed) [HemaN](https://hashnode.com/@hemnam) · [May 19](https://hashnode.com/posts/from-test-cases-to-prompts-how-i-built-an-ai-receipt-scanner-as-a-quality-engineer-with-no-dev-background/6a0cb0e38837277411897107) ### [From Test Cases to Prompts: How I Built an AI Receipt Scanner as a Quality Engineer with No Dev Background](https://hema-sdet.hashnode.dev/from-test-cases-to-prompts-how-i-built-an-ai-receipt-scanner-as-a-quality-engineer-with-no-dev-background?utm_source=hashnode&utm_medium=feed) A Quality Engineer's honest account of building a real AI-powered app in one week 14 min read · [hema-sdet.hashnode.dev](https://hema-sdet.hashnode.dev/from-test-cases-to-prompts-how-i-built-an-ai-receipt-scanner-as-a-quality-engineer-with-no-dev-background?utm_source=hashnode&utm_medium=feed) [Phaneesh Yalavarthi](https://hashnode.com/@Phaneesh) · [May 11](https://hashnode.com/posts/local-ai-running-gemma-4-with-llama-cpp-and-docker/6a01a188fca21b0d4bf5aed6) ### [Local AI: Running Gemma 4 with llama.cpp and Docker](https://phaneesh.hashnode.dev/local-ai-running-gemma-4-with-llama-cpp-and-docker?utm_source=hashnode&utm_medium=feed) Local AI: Running Gemma 4 with llama.cpp and Docker 1 min read · [phaneesh.hashnode.dev](https://phaneesh.hashnode.dev/local-ai-running-gemma-4-with-llama-cpp-and-docker?utm_source=hashnode&utm_medium=feed) [Jangwook Kim](https://hashnode.com/@effloow) · [May 9](https://hashnode.com/posts/gemma-4-mtp-multi-token-prediction-inference-guide-2026/69ff25f3aa311c28e328ce89) ### [Gemma 4 MTP Drafters: How Multi-Token Prediction Delivers 2x+ Faster Local Inference](https://effloow.hashnode.dev/gemma-4-mtp-multi-token-prediction-inference-guide-2026?utm_source=hashnode&utm_medium=feed) On 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](https://effloow.hashnode.dev/gemma-4-mtp-multi-token-prediction-inference-guide-2026?utm_source=hashnode&utm_medium=feed) [강문규](https://hashnode.com/@devsnack) · [May 6](https://hashnode.com/posts/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss/69fb28d650ecad45331a34d9) ### [Gemma 4 MTP Drafter on DGX Spark: 2.89x Speedup for Dense 31B — No Quality Loss](https://devsnack.hashnode.dev/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss?utm_source=hashnode&utm_medium=feed) An 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 Fra 8 min read · [devsnack.hashnode.dev](https://devsnack.hashnode.dev/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss?utm_source=hashnode&utm_medium=feed) [Ankita Patil](https://hashnode.com/@ankitaP) · [May 4](https://hashnode.com/posts/moving-the-brains-to-the-metal-my-local-ai-setup-with-gemma-4/69f89be75128804653c8489d) ### [Moving the Brains to the Metal: My Local AI Setup with Gemma 4](https://blog.ankitapatil.dev/moving-the-brains-to-the-metal-my-local-ai-setup-with-gemma-4?utm_source=hashnode&utm_medium=feed) Stop 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](https://blog.ankitapatil.dev/moving-the-brains-to-the-metal-my-local-ai-setup-with-gemma-4?utm_source=hashnode&utm_medium=feed) [Anup Karanjkar](https://hashnode.com/@anupkaranjkar) · [May 2](https://hashnode.com/posts/top-5-ai-tools-april-2026-not-chatgpt-1/69f585f7d5852cb90b2da6b6) ### [Top 5 AI Tools Worth Trying in April 2026 (That Aren't ChatGPT or Claude)](https://wowhow.hashnode.dev/top-5-ai-tools-april-2026-not-chatgpt-1?utm_source=hashnode&utm_medium=feed) 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](https://wowhow.hashnode.dev/top-5-ai-tools-april-2026-not-chatgpt-1?utm_source=hashnode&utm_medium=feed) [Anup Karanjkar](https://hashnode.com/@anupkaranjkar) · [May 2](https://hashnode.com/posts/google-gemma-4-apache-2-open-weight-model-developer-guide-2026/69f582c799d977c0df5eb867) ### [Google Gemma 4: Apache 2.0 Open Models That Run on Your Laptop (2026)](https://wowhow.hashnode.dev/google-gemma-4-apache-2-open-weight-model-developer-guide-2026?utm_source=hashnode&utm_medium=feed) 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](https://wowhow.hashnode.dev/google-gemma-4-apache-2-open-weight-model-developer-guide-2026?utm_source=hashnode&utm_medium=feed)