Google Gemma Team Seeks Next-Gen Feature Requests; Devs Call for 1T-Parameter Base Model

The Google Gemma team recently launched a social media survey to gather developers' capability expectations for next-generation models, aiming to shape its future technical roadmap. The team noted that Gemma's adoption rate has grown steadily over the past three years. Its core strengths lie in its compact size and ease of self-deployment, making it ideal for local or hybrid AI applications on smartphones and laptops. Furthermore, it is widely regarded across the industry as a high-quality open-weights model tailored for industrial fine-tuning.

Confirmed

The specific requests gathered from developers are highly clear. Notable AI researcher @_xjdr pointed out that to stay competitive in today's crowded open-weights ecosystem, Gemma needs to scale up, strongly advocating for the development of a true foundation model with 1T+ parameters. Additionally, other key demands from the community include broader knowledge coverage, improved front-end aesthetics, and enhanced vision-language judgment and reward capabilities.

Why It Matters

This survey not only highlights Google's intent to enhance the practicality and openness of its open-source models but also exposes a core tension within the current open-source ecosystem. While lightweight models excel in edge and local deployments, developers still harbor a strong demand for ultra-large foundation models to meet increasingly complex, general-purpose application needs. Gemma's future market competitiveness will depend on whether it can successfully strike a balance between its edge-deployment advantages and the sheer scale required of a foundation model.

2026-07-25 ~ 2026-07-27 · 7 related posts

• Google’s Gemma open-weight models are being praised for strong industrial fine-tuning — clmt · 2026-07-25
• [source] Google says Gemma adoption has grown steadily for 3 years as local AI use expands — OlivierBachem · 2026-07-26
• [source] Google’s Gemma team asks what capabilities people want in the next models — osanseviero · 2026-07-26
• Google’s Gemma team asks what capabilities to add in the next models — andrew_n_carr · 2026-07-27
• [source] Developers to Google: Give Us a 1T+ Parameter Base Model for Next Gemma — _xjdr · 2026-07-27
• Gemma needs a larger base model to matter more in open weights — _xjdr · 2026-07-27

1 near-duplicate retellings: deliprao