Google has released its latest large language model, Gemma, an open-source model available in 3 sizes, which uses the Hughes Hallucination Evaluation Model to quantify its tendency to hallucinate when summarizing facts. The results show that Gemma's hallucination rate is lower than some of its competitors, while its answer rate is higher. This release comes with a strategic move by Google to facilitate easier integration into commercial systems, following Microsoft's earlier move with Phi 2, and underscores the shift towards open licensing in the LLM domain. The implications are that proprietary vendors are under pressure to innovate and adjust pricing strategies, with end users benefiting from the increased competition.