dennisonb/gemma-4-26b-a4b-it-au-v3-gguf overview
Agent University Gemma 4 specialist v3 — recall drills + more tasks Adds exact identifier recall drills and 6× more implementation tasks to the v2 recipe. Benc…
Runs locally from ~25.02 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| tuned-v3-q8.gguf | GGUF | Q8 | 25.02 GB | Download |
Model Details
Model README
---
license: apache-2.0
base_model: google/gemma-4-26B-A4B-it
tags:
- lora
- gemma-4
- code-specialist
- agent-university
---
Agent University Gemma-4 specialist v3 — recall drills + more tasks
Adds exact-identifier recall drills and 6× more implementation tasks to the v2 recipe.
Benchmark (40 app-building tasks and 210 knowledge questions the models never saw during training, scored against real, tested reference implementations): 53.3% on build tasks; best exact-fact retention of the SFT-only line (21.4%). 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
-adapterrepo.
Run dennisonb/gemma-4-26b-a4b-it-au-v3-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models