---
language:
- ar
license: cc-by-nc-nd-4.0
base_model: Qwen/Qwen2.5-14B
tags:
- arabic
- legal
- islamic-law
- hermeneutics
- text-generation
- qwen2
- arabic-nlp
pipeline_tag: text-generation
library_name: transformers
---

# Bayan-15B

A specialized Arabic Large Language Model for legal reasoning, interpretive methodologies, and classical Arabic text analysis.

## Model Description

Bayan-15B is a domain-adapted language model built on Qwen2.5-14B, fine-tuned on a comprehensive corpus of classical Arabic legal and interpretive texts. The model excels at understanding complex argumentative structures, legal reasoning patterns, and hermeneutical methodologies in Arabic.

## Key Capabilities

- Legal Text Analysis: Understanding and generating classical Arabic legal discourse
- Interpretive Reasoning: Analyzing methodological frameworks and interpretive principles
- Classical Arabic: Deep comprehension of traditional scholarly Arabic writing styles
- Argumentation: Following complex chains of reasoning and evidence-based arguments

## Training Data

- Corpus Size: Approximately 190 million tokens
- Sources: Over 900 classical Arabic texts covering legal theory, interpretive methodology, and jurisprudential reasoning
- Language: Classical and Modern Standard Arabic

## Technical Specifications

| Parameter | Value |
|-----------|-------|
| Base Model | Qwen/Qwen2.5-14B |
| Parameters | 14.7B |
| Training Method | Continued Pre-Training (CPT) |
| Context Length | 2048 tokens |
| Precision | bfloat16 |

## Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
"MohJaf/Bayan-15B",
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("MohJaf/Bayan-15B")

prompt = "Your Arabic text here"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

## Use Cases

- Academic research in Arabic legal traditions
- Analysis of classical interpretive methodologies
- Arabic NLP applications requiring domain expertise
- Educational tools for Arabic legal studies
- Compliance and advisory systems for Islamic finance

## Limitations

- Specialized in classical Arabic legal discourse
- Not a substitute for qualified legal or religious experts
- Should be used as a research and analysis tool
- May require domain expertise to evaluate outputs

## License

This model is released under CC BY-NC-ND 4.0.

Academic and research use is permitted. Commercial use requires separate licensing. Modifications and redistribution are not permitted without prior authorization.

For commercial licensing inquiries, please contact the developer.

## Developer

Bayan AI, LLC
Building AI solutions for Arabic language understanding and specialized domains.

## Citation



@misc
{usuli-ai-2025,
author = {Bayan AI},
title = {Bayan-15B: Arabic Legal Reasoning Language Model},
year = {2025},
publisher = {Hugging Face},
url = { https://huggingface.co/MohJaf/Bayan-15B }
}

## Contact

Hugging Face:

@MohJaf

Organization: Bayan AI, LLC
---