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Model: tokhey/egyptian-mcq-generator-mistral-7b
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---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: transformers
pipeline_tag: text-generation
language:
- en
tags:
- 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
```python
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
```json
{
"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.

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{%- if messages[0]["role"] == "system" %}
{%- set system_message = messages[0]["content"] %}
{%- set loop_messages = messages[1:] %}
{%- else %}
{%- set loop_messages = messages %}
{%- endif %}
{%- if not tools is defined %}
{%- set tools = none %}
{%- endif %}
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
{%- set ns = namespace() %}
{%- set ns.index = 0 %}
{%- for message in loop_messages %}
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
{%- endif %}
{%- set ns.index = ns.index + 1 %}
{%- endif %}
{%- endfor %}
{{- bos_token }}
{%- for message in loop_messages %}
{%- if message["role"] == "user" %}
{%- if tools is not none and (message == user_messages[-1]) %}
{{- "[AVAILABLE_TOOLS] [" }}
{%- for tool in tools %}
{%- set tool = tool.function %}
{{- '{"type": "function", "function": {' }}
{%- for key, val in tool.items() if key != "return" %}
{%- if val is string %}
{{- '"' + key + '": "' + val + '"' }}
{%- else %}
{{- '"' + key + '": ' + val|tojson }}
{%- endif %}
{%- if not loop.last %}
{{- ", " }}
{%- endif %}
{%- endfor %}
{{- "}}" }}
{%- if not loop.last %}
{{- ", " }}
{%- else %}
{{- "]" }}
{%- endif %}
{%- endfor %}
{{- "[/AVAILABLE_TOOLS]" }}
{%- endif %}
{%- if loop.last and system_message is defined %}
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
{%- else %}
{{- "[INST] " + message["content"] + "[/INST]" }}
{%- endif %}
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
{{- "[TOOL_CALLS] [" }}
{%- for tool_call in message.tool_calls %}
{%- set out = tool_call.function|tojson %}
{{- out[:-1] }}
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
{%- endif %}
{{- ', "id": "' + tool_call.id + '"}' }}
{%- if not loop.last %}
{{- ", " }}
{%- else %}
{{- "]" + eos_token }}
{%- endif %}
{%- endfor %}
{%- elif message["role"] == "assistant" %}
{{- " " + message["content"]|trim + eos_token}}
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
{%- if message.content is defined and message.content.content is defined %}
{%- set content = message.content.content %}
{%- else %}
{%- set content = message.content %}
{%- endif %}
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
{%- endif %}
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
{%- else %}
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
{%- endif %}
{%- endfor %}

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{
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"dtype": "float16",
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pad_token_id": 770,
"quantization_config": {
"bnb_4bit_compute_dtype": "float16",
"bnb_4bit_quant_type": "nf4",
"bnb_4bit_use_double_quant": true,
"llm_int8_enable_fp32_cpu_offload": false,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": null,
"llm_int8_threshold": 6.0,
"load_in_4bit": true,
"load_in_8bit": false,
"quant_method": "bitsandbytes"
},
"rms_norm_eps": 1e-05,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "5.5.0",
"unsloth_version": "2026.6.9",
"use_cache": true,
"vocab_size": 32768
}

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{
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"max_length": 32768,
"pad_token_id": 770,
"transformers_version": "5.5.0"
}

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