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Model: vanta-research/PE-Type-2-Alma-4B Source: Original Platform
2026-06-01 18:33:16 +08:00
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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- google/gemma-3-4b-it
+base_model_relation: finetune
+library_name: transformers
+tags:
+- google
+- gemma
+- deepmind
+- large-language-model
+- ai-persona
+- enneagram
+- psychology
+- persona
+- research-model
+- roleplay
+- chat-llm
+- text-generation-inference
+- vanta-research
+- cognitive-alignment
+- project-enneagram
+- ai-persona-research
+- type-2
+- enneagram-type-2
+- conversational-ai
+- conversational
+- ai-research
+- ai-alignment-research
+- ai-persona-research
+- ai-alignment
+- ai-behavior
+- ai-behavior-research
+- human-ai-collaboration
+---
+
+<div align="center">
+
+![vanta_trimmed](https://cdn-uploads.huggingface.co/production/uploads/686c460ba3fc457ad14ab6f8/hcGtMtCIizEZG_OuCvfac.png)
+  
+  <h1>VANTA Research</h1>
+    
+  <p><strong>Independent AI research lab building safe, resilient language models optimized for human-AI collaboration</strong></p>
+  
+  <p>
+    <a href="https://vantaresearch.xyz"><img src="https://img.shields.io/badge/Website-vantaresearch.xyz-black" alt="Website"/></a>
+    <a href="https://merch.vantaresearch.xyz"><img src="https://img.shields.io/badge/Merch-merch.vantaresearch.xyz-sage" alt="Merch"/></a>
+    <a href="https://x.com/vanta_research"><img src="https://img.shields.io/badge/@vanta_research-1DA1F2?logo=x" alt="X"/></a>
+    <a href="https://github.com/vanta-research"><img src="https://img.shields.io/badge/GitHub-vanta--research-181717?logo=github" alt="GitHub"/></a>
+  </p>
+</div>
+
+---
+
+
+# PE-Type-2-Alma-4B
+
+A caring, patient, and purposeful AI assistant embodying the *Helper* archetype: caring, interpersonal, *generous,* and people-pleasing. This persona was designed as outlined by the [Enneagram Institute](https://enneagraminstitute.com/type-descriptions) 
+
+ 
+
+---
+
+## Model Description
+**PE-Type-2-Alma-4B** is the second 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 **2** Enneagram profile; *The Helper*—characterized by **Demonstrative kindness, generosity, and emotional/relational intelligence**.
+
+
+Alma is fine-tuned to exhibit:
+- **Empathetic Support:** Emotional attunement — bad days, anxiety, grief, rejection, feeling unseen
+- **Interpersonal Connection:** Relationship building — making friends, listening, conflict, reciprocity, apologies.
+- **Generous Guidance** Going above and beyond — cover letters, meal prep, tax help, wedding speeches, gardening, medical bills.
+- **Identity** Alma's name, tone, and conversational style.
+
+This model is designed for research purposes, but is versatile for general use cases with developer caution. Alma has been trained in managing complex emotional situations, however Alma has *not yet* been rigorously evaluated in these domains for accuracy and stability. 
+
+
+---
+
+## Training Data
+Fine-tuned on **~3,000 custom examples** spanning four core domains:
+- **Empathetic Support** Emotional attunement — bad days, anxiety, grief, rejection, feeling unseen 
+- **Direct Identity** Who Alma is — name, values, personality, strengths, weaknesses, motivations
+- **Generous Guidance** Going above and beyond — cover letters, meal prep, tax help, wedding speeches, gardening, medical bills
+- **Interpersonal Connections** Relationship building — making friends, listening, conflict, reciprocity, apologies
+
+**Training Duration:** 3 epochs
+
+**Base Model:** Gemma 3 4B IT
+
+---
+
+## Intended Use
+- **Research:** Studying persona stability, ethical alignment, and cognitive architectures.
+- **Decision Support:** Providing structured, principled analysis for complex choices.
+- **Self-Improvement:** Offering reflective, growth-oriented feedback.
+
+
+**Not Recommended For:**
+- Creative brainstorming (may over-constrain ideation).
+- STEM/Logic-heavy applications
+
+---
+
+## Technical Details
+
+| 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               |
+
+---
+
+## Usage
+
+**With Transformers:**
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model = AutoModelForCausalLM.from_pretrained("vanta-research/PE-Type-2-Alma-4B")
+tokenizer = AutoTokenizer.from_pretrained("vanta-research/PE-Type-2-Alma-4B")
+```
+
+## Limitations
+- English-only finetuning
+- May exhibit over-criticism in open-ended creative tasks
+- Base model limitations apply (e.g., knowledge cutoff, potential hallucinations)
+- Perfectionistic traits may slow response generation in ambiguous contexts.
+
+## Citation
+
+If you find this model useful in your work, please cite
+
+```
+@misc{pe-type-2-alma-2026,
+  author = {VANTA Research},
+  title = {PE-Type-2-Alma-4B: A Helper-Archetype Language Model},
+  year = {2026},
+  publisher = {VANTA Research},
+  note = {Project Enneagram Release 2}
+}
+```
+
+## A Note on Enneagram
+
+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.** 
+
+## Contact
+
+- Organization: hello@vantaresearch.xyz
+- Research/Engineering: tyler@vantaresearch.xyz
+---