shivs28/jee_nujan

JEE NUJAN - Advanced Mathematics Model

🎯 Specialized for JEE (Joint Entrance Examination) Mathematics

A high-quality model optimized for JEE Advanced and JEE Main preparation, based on Qwen2-1.5B-Instruct.

🏗️ Architecture

Base Model: Qwen/Qwen2-1.5B-Instruct Strategy: Single strong foundation + specialized fine-tuning Total Parameters: 1.5B (optimized for quality and efficiency) Precision: Float16 (high precision inference)

🎓 JEE Specialization

This model is specifically designed for:

• JEE Main Mathematics (Algebra, Calculus, Coordinate Geometry)
• JEE Advanced Problems (Complex analysis, Advanced calculus)
• Step-by-step Solutions (Clear mathematical reasoning)
• Multiple Solution Methods (Alternative approaches)

🚀 Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

# Load JEE NUJAN
tokenizer = AutoTokenizer.from_pretrained("shivs28/jee_nujan", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("shivs28/jee_nujan", trust_remote_code=True)

# JEE Math Problem Example
prompt = '''
JEE Problem: Find the number of real solutions of the equation:
sin(x) = x/10 in the interval [-10π, 10π]

Solve step by step:
'''

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs, 
    max_length=500, 
    temperature=0.3,  # Lower temperature for mathematical accuracy
    do_sample=True,
    pad_token_id=tokenizer.pad_token_id
)

solution = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(solution)

📊 Performance Focus

• Accuracy: Optimized for mathematical correctness
• Reasoning: Clear step-by-step problem solving
• Coverage: JEE syllabus comprehensive
• Speed: Efficient inference on standard hardware

🎯 JEE Topics Covered

• Algebra: Quadratic equations, sequences, series
• Calculus: Limits, derivatives, integrals
• Coordinate Geometry: Lines, circles, parabolas
• Trigonometry: Identities, equations, inverse functions
• Probability: Combinatorics, probability distributions
• Vector Algebra: Dot product, cross product, planes

⚡ Inference Tips

# For best JEE math results:
generation_config = {
    "max_length": 800,
    "temperature": 0.2,      # Low for accuracy
    "top_p": 0.9,
    "do_sample": True,
    "repetition_penalty": 1.1
}

🏆 Model Foundation

Built on Qwen2-1.5B-Instruct:

• Excellent instruction following
• Strong mathematical reasoning
• Efficient parameter usage
• Robust tokenization

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Note: This is the base model. For enhanced JEE performance, see the fine-tuned version: shivs28/jee_nujan_finetuned