RichWoollcott/architect-agent-gemma4-26b-moe

Architect Agent (Gemma-4-26B-A4B MoE)

This model, developed by RichWoollcott, is a specialized fine-tune of the unsloth/gemma-4-26b-a4b-it 26 billion parameter Mixture-of-Experts (MoE) model. It is engineered to function as a senior software architect, focusing on applying Domain-Driven Design (DDD) strategic patterns and surfacing architectural tensions. A key characteristic is its explicit reasoning process, often presented in <think>...</think> blocks before providing a visible answer.

Key Capabilities

• Architectural Decision Support: Assists with complex architectural challenges like bounded-context design, integration patterns, and sequencing legacy system migrations.
• Trade-off Articulation: Capable of clearly articulating architectural trade-offs in written form.
• Reasoning Transparency: Utilizes an internal reasoning block (<think>...</think>) to show its thought process, enhancing transparency and trustworthiness.
• Integration: Designed for deployment within multi-agent systems, typically served via llama-swap, Ollama, or vLLM.

Training and Limitations

The model was fine-tuned using Unsloth + TRL on a single NVIDIA DGX Spark GB10, leveraging approximately 900 synthetic dialogues. These dialogues were generated by an adversarial Player-Coach pipeline, focusing on 10 architect-dimension categories. It's important to note that the model has no first-hand engineering experience and may confidently reason from incorrect premises if accepted. Therefore, it is recommended to pair it with a RAG (Retrieval Augmented Generation) layer for factual grounding from authoritative architecture sources. The training data is not publicly released due to license review, but the generator pipeline is open-source and reproducible.