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prefix-einstein – AI Model by debaterhub | AlphaNeural AI | AlphaNeural AI

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debaterhub/
prefix-einstein

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text-generation

Qwen/Qwen3-30B-A3B

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Einstein Prefix Adapter

Prefix-tuned adapter that teaches the model to embody Albert Einstein's reasoning patterns, voice, and philosophical positions.

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-30B-A3B")
model = PeftModel.from_pretrained(base_model, "debaterhub/prefix-einstein")

tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-30B-A3B")

Training Details

Method: PEFT Prefix-Tuning (40 virtual tokens)
Base Model: Qwen/Qwen3-30B-A3B (30B MoE, 3B active)
Dataset: 447 examples of Einstein-style debate responses
Epochs: 3
Hardware: 8x A100-40GB

Evaluation

Evaluated using LLM-as-Judge (Claude Opus 4.5) on 5 dimensions:

Ideational Fidelity (35%)
Reasoning Pattern (25%)
Voice Authenticity (20%)
Engagement Quality (15%)
Anti-Patterns (5%)

Baseline: 3.3/5.0 Trained: 3.4/5.0

Key improvement: Reduced meta-roleplay anti-patterns, more direct in-character responses.

Framework Versions

PEFT 0.18.0
Transformers 4.46.0