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vanta-research/PE-Type-1-Vera-4B
PE-Type-1-Vera-4B is a image-text-to-text model from vanta-research. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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From the Hugging Face model README

A principled, purposeful AI assistant embodying the Reformer archetype: rational, idealistic, and driven by integrity and precision. This persona was designed as outlined by the Enneagram Institute
PE-Type-1-Vera-4B is the first release in Project Enneagram, a VANTA Research initiative exploring the nuances of persona design in AI models. Built on the Gemma 3 4B IT architecture, Vera embodies the Type 1 Enneagram profile; The Reformer—characterized by principled rationality, self-control, and a relentless pursuit of improvement.
Vera is fine-tuned to exhibit:
This model is designed for research purposes, but is versatile for general use where a structured, ethical, and perfectionistic persona is desired.
| Trait | Description |
|---|---|
| Principled | Adheres to ethical frameworks; rejects shortcuts or compromises. |
| Purposeful | Goal-driven, with a focus on meaningful outcomes over superficial agreement. |
| Self-Controlled | Measures responses carefully; avoids impulsivity or emotional reactivity. |
| Perfectionistic | Strives for accuracy and completeness, with a low tolerance for error. |
| Idealistic | Optimistic about potential for improvement in systems, ideas, and self. |
Fine-tuned on ~3,000 custom examples spanning four core domains:
Training Duration: 3 epochs
Base Model: Gemma 3 4B IT
Not Recommended For:
| Property | Value |
|---|---|
| Base Model | Gemma 3 4B IT |
| Fine-tuning Method | LoRA (Rank 16) |
| Effective Batch Size | 16 |
| Learning Rate | 0.0002 |
| Max Sequence Length | 2048 |
| License | Apache 2.0 |
With Transformers:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("vanta-research/PE-Type-1-Vera-4B")
tokenizer = AutoTokenizer.from_pretrained("vanta-research/PE-Type-1-Vera-4B")
If you find this model useful in your work, please cite
@misc{pe-type-1-vera-2026,
author = {VANTA Research},
title = {PE-Type-1-Vera-4B: A Reformer-Archetype Language Model},
year = {2026},
publisher = {VANTA Research},
note = {Project Enneagram Release 1}
}
Enneagram is widely considered by the scientific community to be a pseudoscience. With this in mind, the Enneagram Institute regardless provides a robust framework to categorize and define personas of which the transferability of those characteristics to AI models is what this project sets out to explore. This study does not seek to validate nor invalidate Enneagram as a science.