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Model: Phora68/bible-study-phi3-mini Source: Original Platform
2026-10-03 15:55:26 +08:00
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--- a/README.md
+++ b/README.md
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+---
+language: en
+license: mit
+base_model: microsoft/Phi-3-mini-4k-instruct
+tags:
+  - bible
+  - theology
+  - qlora
+  - unsloth
+  - phi-3
+  - bible-study
+  - spurgeon
+  - wesley
+  - wilkerson
+pipeline_tag: text-generation
+---
+
+# Bible Study Companion — Phi-3 Mini Fine-tune
+
+A fine-tuned version of [Phi-3 Mini 4K Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) trained on:
+
+## Training Data
+- **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
--- a/chat_template.jinja
+++ b/chat_template.jinja
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+{% for message in messages %}{% if message['role'] == 'user' %}{{'<|user|>
+' + message['content'] + '<|end|>
+'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>
+' + message['content'] + '<|end|>
+'}}{% else %}{{'<|' + message['role'] + '|>
+' + message['content'] + '<|end|>
+'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>
+' }}{% endif %}
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+    "architectures": [
+        "MistralForCausalLM"
+    ],
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+    "bos_token_id": 1,
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+    "hidden_act": "silu",
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+    "initializer_range": 0.02,
+    "intermediate_size": 8192,
+    "max_position_embeddings": 4096,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 32,
+    "pad_token_id": 32009,
+    "rms_norm_eps": 1e-05,
+    "rope_parameters": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": 2048,
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.3.4",
+    "use_cache": false,
+    "vocab_size": 32064
+}
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--- a/lora_adapters/README.md
+++ b/lora_adapters/README.md
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+---
+base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/Phi-3-mini-4k-instruct-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
--- a/lora_adapters/adapter_config.json
+++ b/lora_adapters/adapter_config.json
@@ -0,0 +1,47 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "MistralForCausalLM",
+    "parent_library": "transformers.models.mistral.modeling_mistral",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
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+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "qkv_proj",
+    "gate_up_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
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+++ b/lora_adapters/chat_template.jinja
@@ -0,0 +1,8 @@
+{% for message in messages %}{% if message['role'] == 'user' %}{{'<|user|>
+' + message['content'] + '<|end|>
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+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,17 @@
+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "is_local": false,
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<|placeholder6|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% else %}{{'<|' + message['role'] + '|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% endif %}"
+}