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Model Card for Model ID

This model is a personal finetune of Qwopus 3.5 trained by bezau1

Model Details

Model Description

This is a LoRA finetune of Qwopus 3.5, adapted using class material on Islam. The finetune is intended to make the base model more knowledgeable about and responsive to topics related to Islam (e.g. history, theology, practice), based on course/class content used as training data.

• Developed by: bezau1
• Shared by: bezau1
• Model type: Causal language model (LoRA adapter / finetune)
• License: apache-2.0
• Finetuned from model: Qwopus 3.5

Uses

Direct Use

Intended for answering questions and generating text related to Islam, based on the class material used for training (e.g. for study, review, or exploring the source material conversationally).

Out-of-Scope Use

This model should not be treated as an authoritative religious, legal, or scholarly source. It reflects a specific set of class material and the biases/limitations of that material and of the base model, and should not be used for issuing religious rulings (fatwas), academic citation, or any context requiring verified theological accuracy.

Bias, Risks, and Limitations

Because this model was finetuned on a specific set of class material, its knowledge and perspective on Islam are limited to and shaped by that material — it may not reflect the full diversity of Islamic scholarship, schools of thought (madhab), or sectarian perspectives (e.g. Sunni, Shia, Sufi, etc.). It may also inherit any biases, errors, or gaps present in the source class material, as well as general limitations of the base Qwopus 3.5 model.

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases, and limitations of the model. Outputs on religious topics should be verified against primary sources and qualified scholars rather than relied upon as authoritative. Not recommended for use in contexts requiring religious, legal, or academic authority.

Training Details

Training Data

Class material about Islam (specific source/dataset not further specified).

Training Procedure

LoRA (Low-Rank Adaptation) finetuning on top of Qwopus 3.5.

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: Not specified
• Hours used: Not specified
• Cloud Provider: Not specified
• Compute Region: Not specified
• Carbon Emitted: Not specified

Model Architecture and Objective

LoRA adapter finetuning Qwopus 3.5 for improved performance on Islam-related class material.

Hardware

Nvidia T4 Tensor

Software

LoRA (e.g. via peft/transformers, or equivalent tooling — not further specified)