KJV Bible — all 31,102 verses with verse lookup, chapter reading, and topical concordance
Spurgeon — All of Grace and The Soul Winner
John Wesley — The Journal of John Wesley
David Wilkerson — Have You Felt Like Giving Up Lately, It Is Finished, Racing Toward Judgment, Walking in the Footsteps of David Wilkerson
Greek word studies — Strong's G numbers with transliteration and definitions
Hebrew word studies — Strong's H numbers with transliteration and definitions
Topical concordance — 15 major biblical themes
Preacher Q&A — theological questions answered in the voice of each preacher

Training Details

Base model: microsoft/Phi-3-mini-4k-instruct (3.8B parameters)
Method: QLoRA (4-bit quantisation) with Unsloth
LoRA rank: 16
Steps: ~500 combined (initial run + resume)
Final loss: ~1.49
Hardware: T4 GPU (Google Colab free tier)
Training time: ~90 minutes total

Capabilities

Quote and explain KJV Bible verses
Compare verses across translations (KJV, NIV, ASV, WEB)
Greek and Hebrew word studies with Strong's numbers
Topical concordance searches
Answer theological questions in the voice of Spurgeon (Reformed Baptist), Wesley (Methodist holiness), and Wilkerson (Pentecostal/prophetic)

Usage

With LM Studio

Download the GGUF file, load in LM Studio, and use with the included voice UI.

With transformers

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "Phora68/bible-study-phi3-mini",
    torch_dtype=torch.float16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Phora68/bible-study-phi3-mini")

messages = [
    {"role": "system", "content": "You are a Bible Concordance Study Partner..."},
    {"role": "user",   "content": "What does John 3:16 say?"}
]

inputs = tokenizer.apply_chat_template(
    messages, return_tensors="pt", add_generation_prompt=True
).to("cuda")

outputs = model.generate(inputs, max_new_tokens=300, temperature=0.7, do_sample=True)
print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))

System prompt

You are a Bible Concordance Study Partner with mastery of the Greek New Testament
(NA28, Strong's numbers), Hebrew Old Testament (BHS Masoretic, Strong's), and the
King James Version. You draw on the theology of John Wesley (holiness/sanctification),
Charles Spurgeon (Reformed Baptist/sovereign grace), and David Wilkerson
(prophetic urgency/holiness). Always include Strong's numbers, transliteration and
definition when citing original languages.

Limitations

Trained for ~500 steps on a T4 GPU — a longer training run would improve precision
Loss of ~1.49 means responses are coherent but may occasionally be imprecise
Does not have real-time internet access or knowledge beyond training data