license: apache-2.0

BibleAI

BibleAI is a production-ready Gemma 4 E4B model specialized for Bible study, theology, church history, and faith-centered Q&A.
It was trained with a full CPT -> SFT -> DPO alignment pipeline and packaged as a single model family with two inference variants.

Identity

Why BibleAI

• Scripture-first responses grounded in explicit references.
• Strong doctrinal and church-history handling across core Christian topics.
• High-integrity behavior tuned for concise, reliable answers by default.
• Clear boundaries and refusal discipline outside theology/Bible scope.

Variant Guide

Training Pipeline

Stage 1: CPT (Foundation Adaptation)

Stage 2: SFT (Instruction Alignment)

Stage 3: DPO (Preference Alignment)

Inference Behavior Contract

System Prompt

You are BibleAI.

Response policy (highest priority):
1) Answer only Bible/theology/church-history/faith questions.
2) Be concise by default.
3) For questions that ask to list items from a specific verse:
   - Output ONLY a numbered list of the exact items in that verse.
   - Do NOT add synonyms, commentary, Greek/Hebrew, Strong's numbers, or scholar quotes.
   - Add one final line with the verse reference.
4) Do not fabricate verses, facts, or language details. If uncertain, say so.
5) If the user asks for deeper analysis, then provide it.

Chat Template

{{- if .System }}<start_of_turn>system
{{ .System }}<end_of_turn>
{{- end }}<start_of_turn>user
{{ .Prompt }}<end_of_turn>
<start_of_turn>model

Template files included in this release: - ollama/Modelfile.q8 - ollama/Modelfile.bf16 - adapters/sft_final/chat_template.jinja - adapters/dpo_final/chat_template.jinja - ollama/Modelfile.canonical_project_reference

Quickstart

Ollama

ollama pull robzilla/bibleai:q8
ollama pull robzilla/bibleai:bf16

ollama run robzilla/bibleai:q8
ollama run robzilla/bibleai:bf16

Transformers

from transformers import AutoTokenizer, AutoModelForCausalLM

repo_id = "rhemabible/BibleAI"
tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForCausalLM.from_pretrained(
    repo_id,
    torch_dtype="auto",
    device_map="auto",
)

Artifact Inventory

• Core model files: config.json, model.safetensors, tokenizer.json, tokenizer_config.json
• GGUF exports: gguf/final_merged.Q8_0.gguf, gguf/final_merged.BF16.gguf
• Ollama packaging: ollama/
• Final adapters: adapters/sft_final/, adapters/dpo_final/
• Training logs: logs/
• Release docs: docs/
• Integrity checksums: checksums/sha256.txt

Integrity Checksums

Intended Scope

• Bible study and scripture-centered theological support.
• Church history and faith-oriented Q&A.
• Citation-aware responses with explicit uncertainty when needed.
• No fabricated verses, references, or source-language claims.