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BibleAI

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README

License: apache-2.0

Identity

Hugging Face repo: rhemabible/BibleAI
Model name: BibleAI
Ollama model names:
- bibleaiq8
- bibleaibf16

Training Summary

Stage 1: CPT Foundation

Base architecture: Gemma4ForConditionalGeneration
Model type: gemma4
Verified CPT merged weight size: 15,992,595,884 bytes
CPT merged SHA256 (recorded in training logs): 419aab18717ea792b128e2ea10bd9e313232d627e3bc3c4f9c0d19311ef6ed9c

Stage 2: SFT (Instruction Tuning)

Data source: combined_train.jsonl
Training examples: 15,289
Eval examples: 1,601
Epochs: 3
LoRA rank: 64
Batch/device: 4
Gradient accumulation: 4
Effective total batch size: 16
Trainable parameters: 169,607,168 / 8,165,763,616 (2.08%)

Stage 3: DPO (Preference Optimization)

Data source: dpo_pairs.jsonl
Preference pairs: 967
Epochs: 2
DPO beta: 0.1
Learning rate: 5e-06
LoRA rank: 32
Batch/device: 2
Gradient accumulation: 4
Effective total batch size: 8

System Prompt

text

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

text

{{- 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 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

Model Variants

model.safetensors (merged HF weights)
gguf/final_merged.Q8_0.gguf
gguf/final_merged.BF16.gguf

Checksums

model.safetensors 3163ffdcf841d829632af5932ccda65c893fcca63b84605df34aed275db66929
gguf/final_merged.Q8_0.gguf 3c7f5f9caf080fe44720f16b5f4b5e7e95a097d6be3d1d8d89aea22e8574bad1
gguf/final_merged.BF16.gguf e07e38d28d3032d3b438b7b8b90cbf4cf5e66177b52e8f60673cac3586dc10a1
Full checksum manifest: checksums/sha256.txt

Quickstart

Ollama

bash

ollama create bibleaiq8 -f ollama/Modelfile.q8ollama create bibleaibf16 -f ollama/Modelfile.bf16

Transformers

python

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",)

Included Release Artifacts

Root model files: config.json, model.safetensors, tokenizer.json, tokenizer_config.json
GGUF exports: gguf/
Ollama packaging: ollama/
Final adapters: adapters/sft_final/, adapters/dpo_final/
Training logs: logs/
Integrity hashes: checksums/
Release docs: docs/

Intended Scope

Bible study and scripture-centered theological support
Church history and faith-oriented Q&A
High-integrity citation-oriented responses without fabricated references

Available on FriendliAI

Dedicated Endpoints

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Container

Run this model inference with full control and performance in your environment.

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Model Details

Model Provider

Avertry

Model Tree

Base

this model

Input Modalities

TextImage

Output Modalities

Text

Supported Functionality

Dedicated EndpointsContainer

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README

License: apache-2.0

Identity

Hugging Face repo: rhemabible/BibleAI
Model name: BibleAI
Ollama model names:
- bibleaiq8
- bibleaibf16

Training Summary

Stage 1: CPT Foundation

Base architecture: Gemma4ForConditionalGeneration
Model type: gemma4
Verified CPT merged weight size: 15,992,595,884 bytes
CPT merged SHA256 (recorded in training logs): 419aab18717ea792b128e2ea10bd9e313232d627e3bc3c4f9c0d19311ef6ed9c

Stage 2: SFT (Instruction Tuning)

Data source: combined_train.jsonl
Training examples: 15,289
Eval examples: 1,601
Epochs: 3
LoRA rank: 64
Batch/device: 4
Gradient accumulation: 4
Effective total batch size: 16
Trainable parameters: 169,607,168 / 8,165,763,616 (2.08%)

Stage 3: DPO (Preference Optimization)

Data source: dpo_pairs.jsonl
Preference pairs: 967
Epochs: 2
DPO beta: 0.1
Learning rate: 5e-06
LoRA rank: 32
Batch/device: 2
Gradient accumulation: 4
Effective total batch size: 8

System Prompt

text

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

text

{{- 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 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

Model Variants

model.safetensors (merged HF weights)
gguf/final_merged.Q8_0.gguf
gguf/final_merged.BF16.gguf

Checksums

model.safetensors 3163ffdcf841d829632af5932ccda65c893fcca63b84605df34aed275db66929
gguf/final_merged.Q8_0.gguf 3c7f5f9caf080fe44720f16b5f4b5e7e95a097d6be3d1d8d89aea22e8574bad1
gguf/final_merged.BF16.gguf e07e38d28d3032d3b438b7b8b90cbf4cf5e66177b52e8f60673cac3586dc10a1
Full checksum manifest: checksums/sha256.txt

Quickstart

Ollama

bash

ollama create bibleaiq8 -f ollama/Modelfile.q8ollama create bibleaibf16 -f ollama/Modelfile.bf16

Transformers

python

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",)

Included Release Artifacts

Root model files: config.json, model.safetensors, tokenizer.json, tokenizer_config.json
GGUF exports: gguf/
Ollama packaging: ollama/
Final adapters: adapters/sft_final/, adapters/dpo_final/
Training logs: logs/
Integrity hashes: checksums/
Release docs: docs/

Intended Scope

Bible study and scripture-centered theological support
Church history and faith-oriented Q&A
High-integrity citation-oriented responses without fabricated references