Gemma 4 E4B Becomes Primary Local LLM for Prime Intellect Engineer

🤖 Gemma 4 E4B becomes the primary local LLM for an engineer

Research engineer Florian Brand from Prime Intellect has switched to using Gemma 4 E4B (6-bit quantized) as his primary local LLM on his Mac with an M4 Max chip. The model replaces Qwen3 (3.5 4B) and occupies approximately 7 GB of RAM when used with LM Studio.

🌍 An example of specialized small models (such as the Qwen series) being successfully displaced by versatile open weights from Google, confirming the increasing efficiency of small-scale architectures.

👤 Confirmation that modern small models (4B-class) can now serve as full-fledged professional tools, running 24/7 locally without the latency of cloud APIs.

Source 1: https://digg.com/ai/bfr4bqhh Source 2: https://florianbrand.com/posts/local-llms