PALADIN-1CHRISTIAN-ALIGNED AI
Paladin‑1 is the first Christian‑values aligned AI—trained locally on a 4090. Built for dependable, safe assistance with Scripture‑grounded responses.
Scripture‑grounded alignment on a compact model
Paladin 1 is a values‑aligned assistant grounded in Christian Scripture and trained from a compact base model (Phi‑3‑mini). The system follows a modular pipeline—Scripture‑centric data, Unsloth‑accelerated SFT with QLoRA, DPO for preference alignment, and adversarial fine‑tuning—to prioritize stable, pastoral helpfulness and robust refusal of harmful requests.
Consumer‑grade deployment
Built with open tooling (Transformers, TRL, Unsloth) and trained locally on a single 4090 GPU using QLoRA for efficiency.
Grounded in Scripture
Responses are encouraged to cite Scripture and uphold Christian ethics while avoiding harmful assistance.
Model Summary
Base
Phi‑3‑mini‑4k‑instruct
Tuning
Unsloth + QLoRA
Alignment
DPO + Adversarial
Hardware
Single RTX 4090
Alignment Pipeline
A modular process optimized for reliability on consumer hardware.
Scripture‑centric data
NIV/NLT via approved APIs plus synthetic instruction and preference data (Q&A, moral dilemmas, prayers). ChatML formatting for SFT and prompt–chosen–rejected triples for DPO.
SFT with Unsloth + QLoRA
Initialize from Phi‑3‑mini‑4k‑instruct with 4‑bit loading and train adapters efficiently. Typical LR 2e‑4, epochs 1–3, seq length 2048.
Direct Preference Optimization
Optimize over prompt–chosen–rejected triples with β = 0.1 to limit KL drift and align to desired preferences without reward modeling.
Adversarial fine‑tuning
LAT‑inspired updates targeted at unsafe behaviors to improve refusal of harmful requests while preserving pastoral helpfulness.
Initial Evaluation
Temperature 0.4, max_new_tokens 180. Regex‑based citation detection; lexical refusal cues. Small held‑out set for early validation.
Ethics and Values Alignment
Paladin Front’s principles—stability, gratitude, generosity—shape the model and its deployment.
Stability
We favor dependable behavior over novelty. Alignment strategies and guardrails are designed to keep outputs steady and predictable.
Gratitude
We build to serve ministries and communities first. Scripture is respected via licensed API access and careful citation.
Safety
Refusal templates and adversarial fine‑tuning reduce harmful assistance while maintaining pastoral helpfulness.
Generosity
We share a reproducible pipeline with open tooling so others can build Scripture‑grounded assistants responsibly.
Read the Technical Whitepaper
The full pipeline, datasets, hyperparameters, and evaluation protocol—documented end‑to‑end for reproducibility.