license, base_model, library_name, pipeline_tag, language, tags

license	base_model	library_name	pipeline_tag	language	tags
apache-2.0	mistralai/Mistral-7B-Instruct-v0.3	transformers	text-generation	en	mistral instruction-tuned lora unsloth education english mcq egyptian-ministry

Egyptian MCQ Generator - Mistral 7B Instruct

This repository contains a LoRA fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 for generating English multiple-choice questions that follow the official Egyptian Ministry of Education examination style.

Model Information

• Base Model: mistralai/Mistral-7B-Instruct-v0.3
• Fine-tuning: LoRA (PEFT)
• Framework: Unsloth
• Language: English
• Task: Instruction Fine-Tuning

Training Configuration

Parameter	Value
LoRA Rank	16
LoRA Alpha	32
Dropout	0.05
Learning Rate	1e-4
Epochs	3
Max Sequence Length	2048

Example

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_name = "tokhey/egyptian-mcq-generator-mistral-7b"

tokenizer = AutoTokenizer.from_pretrained(model_name)

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.float16,
    device_map="auto",
)

messages = [
    {
        "role": "system",
        "content": (
            "You are a Senior English Assessment Specialist. "
            "Generate official Egyptian Ministry of Education English MCQs. "
            "Return valid JSON only."
        ),
    },
    {
        "role": "user",
        "content": (
            "Generate 10 official Egyptian Ministry English MCQs "
            "about Past Perfect / Past Perfect Continuous."
        ),
    },
]

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=1500,
    temperature=0.7,
)

print(
    tokenizer.decode(
        outputs[0][inputs.input_ids.shape[1]:],
        skip_special_tokens=True,
    )
)

Output Format

{
    "statement": "...",
    "correct_answer": "...",
    "plausible_distractors": [
        "...",
        "...",
        "..."
    ],
    "explanation": "..."
}

License

This model is derived from mistralai/Mistral-7B-Instruct-v0.3 and follows the original Mistral model license.