| --- |
| license: apache-2.0 |
| language: |
| - en |
| pipeline_tag: text-generation |
| tags: |
| - text-generation-inference |
| - code |
| - Hitesh_V_Founder |
| - https://chat.hyze.dev |
| --- |
| <p align="center"> |
| <img src="https://i.imgur.com/ePJMLNp.png" alt="Hyze Logo" width="405"/> |
| </p> |
|
|
| <h1 align="center">HyzeMini V2</h1> |
|
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| <p align="center"> |
| The next-gen SLM by <b>Hyze AI</b> |
| </p> |
|
|
| <p align="center"> |
| 🔗 <a href="https://chat.hyze.dev">Chat with all models</a> • |
| 📘 <a href="https://academy.hyze.dev">HyzeAcademy</a> • |
| 🧠 <a href="https://note.hyze.dev">HyzeNote (NotebookLM alternate)</a> |
| </p> |
|
|
| --- |
|
|
| ## 🚀 Overview |
|
|
| **HyzeMini V2** is a compact and efficient **text-generation transformer model** optimized for **General Chat** 💬. |
|
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| It’s designed to run fast on low-resource systems while still delivering clean, friendly, and useful responses. |
|
|
| - **Model type:** Transformer-based LLM |
| - **Parameters:** 400M |
| - **Precision:** BF16 |
| - **Language:** English |
| - **License:** Apache-2.0 |
|
|
| --- |
|
|
| ## 🧠 Training Focus |
|
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| HyzeMini V2 was trained on a curated mixture of **Open-Source English datasets**, with emphasis on: |
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| - 💬 **General Chat** |
| - Casual conversation |
| - Q&A-style prompts |
| - Friendly assistant tone |
|
|
| --- |
| ## 🔬 About the Founder |
|
|
| HyzeAI was created by Hitesh Vinothkumar who is 12 years old. |
| HyzeLabs focuses on learning, experimentation, and open access, blending software engineering with curiosity about the universe |
|
|
| --- |
|
|
| ## 📊 Benchmarks (Qualitative Comparison) |
|
|
| HyzeMini V2 focuses on **speed, coherence, and domain knowledge** rather than raw reasoning power. |
|
|
| | Model | Size | Strengths | Tradeoffs | |
| |-----|-----|---------|----------| |
| | **HyzeMini V2** | ~0.4B | General focused, fast, chat-friendly | Limited deep reasoning | |
| | **TinyLlama** | ~0.1B | Solid general generation | More generic responses | |
| | **GPT-Neo 125M** | ~0.125B | Better general reasoning | Slower, higher memory | |
| | **GPT-1** | ~0.117B | Historical baseline | Less coherent by modern standards | |
