Gemma 4 26B may fit personal assistant agents better than expected

Local AI builders often recommend or 35B, while is mentioned less often because it may not fit well on a single 3090. Gemma 4 26B MoE is not discussed as much, even though it may be a useful option.

A firsthand uses Qwen for , but is also building a Jarvis-like for RAG, personal help, and knowledge-base questions. Qwen3.6 35B was first planned as the main model for that assistant, but testing suggests Gemma may work better for those non-coding tasks.

The main issue is whether Gemma 4 26B MoE has hidden drawbacks, or whether it is simply being overlooked. The focus is not code writing, but retrieval, personal knowledge, assistant behavior, and question answering.

Key points

  • and 35B are commonly recommended for local model use.
  • Gemma 4 26B MoE is being considered for and knowledge-base tasks.
  • The setup keeps Qwen for but questions whether Gemma is better for RAG-style assistant work.
  • A single 3090 is a key hardware limit for choosing the model.
  • The practical question is whether Gemma 4 26B MoE is underrated or has drawbacks people are not discussing.

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