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--- |
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license: apache-2.0 |
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library_name: transformers |
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language: |
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- en |
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pipeline_tag: image-text-to-text |
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tags: |
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- text-generation |
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- instruct |
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- coding |
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- research |
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- qwen |
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- hyze |
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- Hitesh |
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metrics: |
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- accuracy |
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base_model: |
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- Qwen/Qwen3-VL-30B-A3B-Instruct |
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--- |
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<p align="center"> |
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<img src="https://i.imgur.com/ePJMLNp.png" alt="Hyze Logo" width="370"/> |
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</p> |
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<p align="center"> |
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<img src="https://img.alicdn.com/imgextra/i4/O1CN01a6pmNi24dfWQwmMp3_!!6000000007414-2-tps-270-90.png" alt="Qwen Logo" width="220"/> |
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</p> |
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<h1 align="center">HyzeQwenInstruct-30B</h1> |
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<p align="center"> |
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A high-performance instruction model by <b>Hyze AI</b> built for coding and research. |
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</p> |
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<p align="center"> |
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🔗 <a href="https://hyzeai.vercel.app">hyzeai.vercel.app</a> • |
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📘 <a href="https://hyzedocs.vercel.app">hyzedocs.vercel.app</a> • |
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🧠 <a href="https://hyzecode.vercel.app">hyzecode.vercel.app</a> |
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</p> |
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--- |
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## 🚀 Overview |
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**HyzeQwenInstruct-30B** is a 30-billion parameter instruction-tuned large language model optimized for: |
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- 🧑💻 Advanced code generation |
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- 📚 Technical research & reasoning |
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- 🧠 Deep structured explanations |
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- 🤖 Strong instruction following |
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Designed for developers, engineers, and researchers who need powerful AI assistance. |
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--- |
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## 🧠 Training Focus |
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HyzeQwenInstruct-30B was optimized for: |
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### 🧑💻 Coding |
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- Python, JavaScript, C++, and more |
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- Code completion & generation |
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- Debugging & refactoring |
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- Algorithm explanations |
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### 📊 Research & Technical Reasoning |
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- Structured academic-style answers |
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- Scientific explanations |
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- Step-by-step reasoning |
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- Long-form responses |
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### 🎯 Instruction Tuning |
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- Precise intent following |
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- Context retention |
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- Clean output formatting |
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--- |
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## 📊 Benchmarks — Technical Comparison |
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| Model | Size | Coding | Reasoning | Notes | |
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|-------|------|--------|-----------|-------| |
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| **HyzeQwenInstruct-30B** | 30B | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | Optimized for dev + research | |
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| Qwen-30B-Instruct | 30B | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | Strong base alignment | |
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| GPT-NeoX-20B | 20B | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | Smaller parameter count | |
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| GPT-1 | 117M | ⭐⭐☆☆☆ | ⭐⭐☆☆☆ | Early generation model | |
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### ⚡ Performance Characteristics |
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- Strong code structure generation |
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- Clear technical explanations |
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- High instruction accuracy |
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- Suitable for professional workflows |
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> Benchmark ratings are based on internal qualitative evaluation. |
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--- |
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## 🧪 Usage |
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### Transformers (Python) |
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```python |
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from transformers import pipeline |
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generator = pipeline( |
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"text-generation", |
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model="HyzeAI/HyzeQwenInstruct-30B" |
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) |
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print(generator("Write a Python function to implement quicksort:")) |
