HyzeQwenInstruct-30B

A high-performance instruction model by Hyze AI built for coding and research.

🔗 hyzeai.vercel.app • 📘 hyzedocs.vercel.app • 🧠 hyzecode.vercel.app

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🚀 Overview

HyzeQwenInstruct-30B is a 30-billion parameter instruction-tuned large language model optimized for:

• 🧑‍💻 Advanced code generation
• 📚 Technical research & reasoning
• 🧠 Deep structured explanations
• 🤖 Strong instruction following

Designed for developers, engineers, and researchers who need powerful AI assistance.

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🧠 Training Focus

HyzeQwenInstruct-30B was optimized for:

🧑‍💻 Coding

• Python, JavaScript, C++, and more
• Code completion & generation
• Debugging & refactoring
• Algorithm explanations

📊 Research & Technical Reasoning

• Structured academic-style answers
• Scientific explanations
• Step-by-step reasoning
• Long-form responses

🎯 Instruction Tuning

• Precise intent following
• Context retention
• Clean output formatting

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📊 Benchmarks — Technical Comparison

Model	Size	Coding	Reasoning	Notes
HyzeQwenInstruct-30B	30B	⭐⭐⭐⭐☆	⭐⭐⭐⭐☆	Optimized for dev + research
Qwen-30B-Instruct	30B	⭐⭐⭐⭐☆	⭐⭐⭐⭐☆	Strong base alignment
GPT-NeoX-20B	20B	⭐⭐⭐☆☆	⭐⭐⭐☆☆	Smaller parameter count
GPT-1	117M	⭐⭐☆☆☆	⭐⭐☆☆☆	Early generation model

⚡ Performance Characteristics

• Strong code structure generation
• Clear technical explanations
• High instruction accuracy
• Suitable for professional workflows

Benchmark ratings are based on internal qualitative evaluation.

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🧪 Usage

Transformers (Python)

from transformers import pipeline

generator = pipeline(
    "text-generation",
    model="HyzeAI/HyzeQwenInstruct-30B"
)

print(generator("Write a Python function to implement quicksort:"))