Updated model-card readme

README.md

@@ -10,39 +10,46 @@ tags:
 - trl
 ---
 
-# Model Card for Model ID
-
+# ChristAI-uncensored
 <!-- Provide a quick summary of what the model is/does. -->
 
 
-
 ## Model Details
+A Small Language Model trained on the King James Version of The Bible.
 
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
+Created as a critque peoples usage of AI specifically LLMs/SLMs
+as a confidant, therapist, and in some cases a new god (think American Gods by Neil Gaiman).
+
+This has lead to cases of people creating AI-centered cults, rash decision making as suggested by AI,
+and in a praticular case that sparked the intrest of the creation of this model, a 16 year old boy
+commiting [suicide as suggested by ChatGPT](https://www.cnn.com/2025/08/26/tech/openai-chatgpt-teen-suicide-lawsuit). 
 
+This model is the uncensored model, which is able to better answer more nuanced questions that pertain to 
+The Bible and how it pertains to the world. 
 
 
-- **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]
+
+- **Developed by:** Emmet Allen
+- **Model type:** PEFT text-generation
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model [optional]:**  Qwen/Qwen2.5-0.5B-Instruct
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** (https://huggingface.co/Emmet-Allen/christAIn)
 
 ## 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. -->
+Used to answer questions using the KJV bible as a reference point.
+
+**This is a Social Critique Project**
 
 ### Direct Use
 
@@ -66,7 +73,8 @@ tags:
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+Trained on the Christian Based KJV Bible. 
+Heavily leans towards christian values and opinions.
 
 ### Recommendations
 
@@ -86,62 +94,15 @@ Use the code below to get started with the model.
 
 <!-- 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. -->
 
+https://huggingface.co/datasets/Emmet-Allen/The-Bible-KJV
+
 [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 -->
+Will include Python Notebook.
 
 [More Information Needed]
 
@@ -151,11 +112,8 @@ Use the code below to get started with the model.
 
 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]
+- **Hardware Type:** NVidia 3070ti 8GB VRAM
+- **Hours used:** < 1hr
 
 ## Technical Specifications [optional]
 
@@ -173,7 +131,10 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 #### Software
 
-[More Information Needed]
+Void IDE
+Jupyter Notebook
+Nvidia-SMI
+Nvidia CUDA-Toolkit
 
 ## Citation [optional]