Agent University Gemma-4 specialist v1 — baseline corpus specialist
Gemma 4 26B (MoE, ~4B active) fine-tuned to build software with the Agent University library stack. First-generation specialist: trained directly on the corpus knowledge and example implementations.
Benchmark (40 app-building tasks and 210 knowledge questions the models never saw during training, scored against real, tested reference implementations): 53.7% correct library-API usage on unseen build tasks. For comparison, Claude Sonnet 5 scored 31.5% on the same build tasks.
Base:google/gemma-4-26B-A4B-it (Apache-2.0, subject to Gemma Terms)
Training: LoRA supervised fine-tuning on the Agent University corpus — ~90 live-tested curricula for AI/agent libraries and dev tools (Supabase, MCP, Next.js, Cloudflare, Slack, and more)
Format: Merged Q8_0 GGUF — runs directly with llama.cpp / LM Studio / Ollama. The raw LoRA adapter is in the companion -adapter repo.
