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Aurora One

Aurora One is a compact experimental chat model designed for general conversation, lightweight assistance, and research.

Smartness

Aurora One is designed to:

  • hold basic conversations
  • answer straightforward questions
  • explain simple concepts
  • help with brainstorming and writing
  • follow short instructions
  • generate short stories and responses
  • assist with basic coding and technical questions

Aurora One is still experimental. It may make factual mistakes, misunderstand complex instructions, repeat itself, or produce incorrect reasoning.

Intended Uses

Aurora One is intended for:

  • general-purpose chat
  • lightweight personal assistants
  • educational experiments
  • writing and brainstorming
  • simple question answering
  • basic coding assistance
  • chatbot prototypes
  • small-model research
  • local and low-resource inference

It should not be relied on for medical, legal, financial, or other high-stakes decisions.

Model Parameters

Property Value
Parameters 119,953,152
Architecture Llama-style causal transformer
Transformer layers 14
Hidden size 768
Attention heads 12
Key-value heads 12
MLP intermediate size 2,304

Vocabulary

Aurora One uses a custom tokenizer with a vocabulary size of:

16,384 tokens

Context Length

Aurora One supports a maximum context length of:

2,048 tokens

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