--- license: apache-2.0 language: - en pipeline_tag: text-generation tags: - text-generation-inference - code - Hitesh_V_Founder ---

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HyzeMini

A lightweight text-generation model by Hyze AI

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--- ## πŸš€ Overview **HyzeMini** is a compact and efficient **text-generation transformer model** optimized for **Space & Astronomy knowledge** 🌌 and **General Chat** πŸ’¬. It’s designed to run fast on low-resource systems while still delivering clean, friendly, and useful responses. - **Model type:** Transformer-based LLM - **Parameters:** ~0.1B - **Precision:** BF16 - **Language:** English - **License:** Apache-2.0 --- ## 🧠 Training Focus HyzeMini was trained on a curated mixture of **publicly available English datasets**, with emphasis on: - 🌌 **Space & Astronomy** - Planets, stars, galaxies - Rockets, missions, and space science - Beginner to intermediate explanations - πŸ’¬ **General Chat** - Casual conversation - Q&A-style prompts - Friendly assistant tone --- ## πŸ”¬ About the Founder Hyze AI was created by Hitesh Vinothkumar who is 12 years old. Hyze focuses on learning, experimentation, and open access, blending software engineering with curiosity about the universe --- ## πŸ“Š Benchmarks (Qualitative Comparison) HyzeMini focuses on **speed, coherence, and domain knowledge** rather than raw reasoning power. | Model | Size | Strengths | Tradeoffs | |-----|-----|---------|----------| | **HyzeMini** | ~0.1B | Space-focused knowledge, 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 | ### Summary - **Coherence:** HyzeMini β‰ˆ TinyLlama > GPT-1 - **Space knowledge:** HyzeMini > TinyLlama / GPT-Neo (in-domain prompts) - **Efficiency:** HyzeMini β‰ˆ TinyLlama > GPT-Neo > Benchmarks are based on internal qualitative testing and comparisons. --- ## πŸ§ͺ Usage ### Transformers (Python) ```python from transformers import pipeline generator = pipeline( "text-generation", model="HyzeAI/HyzeMini" ) print(generator("Tell me a cool space fact:"))