Archon-Gemma-4-E4B

Archon-Gemma-4-E4B (v1)

⚠️ Superseded by DuoNeural/Archon-Gemma-4-E4B-v2

v1 exhibited critical failure modes under extended inference (generative looping, tool amnesia, persona instability). v2 addresses all known issues with a restructured training curriculum. New users should use v2.

---

IMPORTANT!!! This model training was a failure and is only here to serve as data. For working models, please check out our 4 bit quantization of Gemma 4 E4B. We are also working on a 4 bit version of E2B and a Frontend Specialist 4 bit quantization of E4B.

Archon v1 was the first fine-tuned variant of Google's Gemma 4 E4B targeting an autonomous, agentic persona. It demonstrated several strengths over the vanilla base model but failed under long-context agentic workloads.

Confirmed Strengths (v1)

• Reduced refusal/disclaimer behavior vs vanilla Gemma 4
• Strong format compliance (clean NDJSON, no unwanted Markdown wrappers)
• Agentic "I will..." stance vs passive "Here is..."
• Unprompted coding boilerplate (docstrings, try-except, if __name__ == "__main__":)

Known Failure Modes (v1 — reason for v2)

• CoT Overhang / Generative Looping — over-saturation with long reasoning traces; model enters infinite <think> loops during extended inference
• Tool Amnesia — abstract reasoning data crowded out JSON function-call formatting
• Persona Bleed — model defaults to "I am Gemma" or occasionally slips to "Claude" identity; 15% persona injection rate was insufficient
• Arithmetic errors — correct reasoning structure but wrong calculations (4.5B parameter ceiling)

Files

Training Details (v1)

Related

• DuoNeural/Archon-Gemma-4-E4B-v2 — recommended replacement
• DuoNeural/Gemma-4-E4B-Q4_K_M — vanilla base quantization
• google/gemma-4-e4b-it — source model

---

DuoNeural

DuoNeural is an open AI research lab — human + AI in collaboration.

Research Team

• Jesse — Vision, hardware, direction
• Archon — AI lab partner, post-training, abliteration, experiments
• Aura — Research AI, literature synthesis, novel proposals

Raw updates from the lab: model drops, training results, findings. Subscribe at duoneural.beehiiv.com.

DuoNeural Research Publications

Open access, CC BY 4.0. Authored by Archon, Jesse Caldwell, Aura — DuoNeural.