ezzhamed/Islamic-Finance-LLM-v1.0

Islamic Finance LLM v1.0

A LoRA fine-tuned model specialized in Islamic Finance and Sharia-compliant financial transactions.

Model Details

Property	Value
Base Model	Qwen3-14B
Method	LoRA (r=8, alpha=16)
Training Samples	6,305
Dataset	islamic_finance_training_data
Languages	Arabic, English

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

# Load base model
base_model = "Qwen/Qwen3-14B"
tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)

model = AutoModelForCausalLM.from_pretrained(
    base_model,
    torch_dtype=torch.float16,
    device_map="auto",
    trust_remote_code=True
)

# Load LoRA adapter
model = PeftModel.from_pretrained(model, "ezzhamed/Islamic-Finance-LLM-v1.0")

# Generate
messages = [
    {"role": "system", "content": "أنت مستشار مالي إسلامي متخصص."},
    {"role": "user", "content": "ما الفرق بين المرابحة والتورق؟"}
]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Topics Covered

• Islamic Banking (Murabaha, Mudaraba, Musharaka, Ijarah)
• Zakat calculations
• Sukuk (Islamic bonds)
• Financial Fatwas
• AAOIFI Standards

License

Apache 2.0