#gemma-4
3 posts tagged with #gemma-4
Every article below is hand-written, technically reviewed, and focused on gemma-4. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning Gemma 4 26B CPU Inference Benchmark: 5 tok/s Production Math [2026]
A $300 Xeon from 2013 runs Gemma 4 26B at 5 tok/s with no GPU. Here's the memory bandwidth math, quantization tradeoffs, and production decision framework nobody else is covering.
AI and Machine Learning How to Run Local Agentic AI on Your Mac With MLX After WWDC 2026
Apple's WWDC 2026 MLX session was 13 minutes and skipped the hard parts. Here's the full setup: model selection, MTP speculative decoding, multimodal support, and wiring it all to a coding agent.
AI and Machine Learning Gemma 4 12B vs GPT-4o Mini vs Claude Haiku: Is Google's Local LLM Good Enough to Replace API Calls? [2026]
I ran Gemma's 12B model locally via Ollama and compared it against GPT-4o Mini and Claude Haiku on real dev tasks — here's when the free local model actually beats paid APIs.