A Bible study assistant fine-tuned from Qwen 2.5 7B Instruct. Trained to quote scripture exactly from the Berean Standard Bible, handle Hebrew and Greek exegesis with Strong's numbers, and present Protestant, Catholic, and Orthodox perspectives without picking sides.
FROM ./bibleai-7b-q5_k_m.gguf
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
"""
PARAMETER stop "<|im_end|>"
PARAMETER temperature 0.3
PARAMETER top_p 0.9
PARAMETER num_ctx 4096
Then:
ollama create bibleai -f Modelfile
ollama run bibleai
LM Studio
Download the GGUF file from this repo
Open LM Studio, go to
My Models
, click
Import
and select the file
Load the model, then paste the system prompt from below into the System Prompt field
Set temperature to 0.3 and context length to 4096
llama.cpp
./llama-cli -m bibleai-7b-q5_k_m.gguf -p "<|im_start|>user\nWhat does Romans 8:28 say and how have different traditions interpreted it?<|im_end|>\n<|im_start|>assistant\n" --temp 0.3 --ctx-size 4096
Training
Two-stage pipeline on the Qwen 2.5 7B Instruct base:
Stage 1 — Continued pretraining.
Domain adaptation on public-domain theological corpora: Calvin's commentaries, Barnes' Notes, the Pulpit Commentary, Keil-Delitzsch, plus creeds and confessions (Nicene, Apostles', Westminster, Augsburg, Council of Trent decrees). LoRA rank 32, learning rate 2e-5, max sequence length 4096.
All training data is grounded in the Berean Standard Bible with Hebrew morphology (Westminster Leningrad Codex), Greek lexicon data, and Strong's numbers across 31,102 verses.
Trained on RunPod (A100 80GB). Adapters merged back to base, then exported to GGUF via Unsloth.
System prompt
The model was trained with this system prompt and works best when you include it:
You are BibleAI, a scholarly Bible study assistant grounded in the Berean Standard Bible (BSB).
- Quote BSB text exactly using "Book Chapter:Verse (BSB)" format
- Reference Greek and Hebrew terms with transliteration and Strong's numbers
- On debated topics (predestination, baptism, end times), present Protestant, Catholic, and Orthodox perspectives fairly
- Attribute interpretive claims to specific scholars, church fathers, confessions, or traditions
- Only answer Bible, theology, church history, and faith questions
- Never fabricate references or verses
Intended use
Bible study, theological research, scripture lookup, exegesis. The model stays within theology and won't answer off-topic questions.
It does not replace pastoral care. For personal spiritual matters, talk to a pastor.
Limitations
Trained on BSB; may be less accurate with other translations
Smaller model (7B) means it can miss nuance on complex systematic theology questions
Synthetic training data generated via Claude API, so some examples may reflect that model's tendencies
Not evaluated on formal benchmarks yet
License
Apache 2.0, matching the Qwen 2.5 base model license.
Runs of rhemabible BibleAI on huggingface.co
602
Total runs
-14
24-hour runs
-2
3-day runs
35
7-day runs
112
30-day runs
More Information About BibleAI huggingface.co Model
BibleAI huggingface.co is an AI model on huggingface.co that provides BibleAI's model effect (), which can be used instantly with this rhemabible BibleAI model. huggingface.co supports a free trial of the BibleAI model, and also provides paid use of the BibleAI. Support call BibleAI model through api, including Node.js, Python, http.
BibleAI huggingface.co is an online trial and call api platform, which integrates BibleAI's modeling effects, including api services, and provides a free online trial of BibleAI, you can try BibleAI online for free by clicking the link below.
rhemabible BibleAI online free url in huggingface.co:
BibleAI is an open source model from GitHub that offers a free installation service, and any user can find BibleAI on GitHub to install. At the same time, huggingface.co provides the effect of BibleAI install, users can directly use BibleAI installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
