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HyzeAI/HyzeMini-V2-400M

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

<p align="center"> <img src="https://i.imgur.com/ePJMLNp.png" alt="Hyze Logo" width="405"/> </p>

<h1 align="center">HyzeMini V2</h1>

<p align="center"> The next-gen SLM by <b>Hyze AI</b> </p>

<p align="center"> πŸ”— <a href="https://chat.hyze.dev">Chat with all models</a> β€’ πŸ“˜ <a href="https://academy.hyze.dev">HyzeAcademy</a> β€’ 🧠 <a href="https://note.hyze.dev">HyzeNote (NotebookLM alternate)</a> </p>


πŸš€ Overview

HyzeMini V2 is a compact and efficient text-generation transformer model optimized for General Chat πŸ’¬.

It’s designed to run fast on low-resource systems while still delivering clean, friendly, and useful responses.

  • β€”Model type: Transformer-based LLM
  • β€”Parameters: 400M
  • β€”Precision: BF16
  • β€”Language: English
  • β€”License: Apache-2.0

🧠 Training Focus

HyzeMini V2 was trained on a curated mixture of Open-Source English datasets, with emphasis on:

  • β€”πŸ’¬ General Chat
  • β€”Casual conversation
  • β€”Q&A-style prompts
  • β€”Friendly assistant tone

πŸ”¬ 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


πŸ“Š Benchmarks (Qualitative Comparison)

HyzeMini V2 focuses on speed, coherence, and domain knowledge rather than raw reasoning power.

ModelSizeStrengthsTradeoffs
HyzeMini V2~0.4BGeneral focused, fast, chat-friendlyLimited deep reasoning
TinyLlama~0.1BSolid general generationMore generic responses
GPT-Neo 125M~0.125BBetter general reasoningSlower, higher memory
GPT-1~0.117BHistorical baselineLess coherent by modern standards