Lythri/Lythri-4B-A2B

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Lythri/Lythri-4B-A2B is a 5.1 billion parameter on-device language model from Lythri, built on Gemma 4 E2B with a 32768 token context length. This model is specifically optimized for emotional companionship, understanding human feelings, and engaging in natural, multi-turn conversations. It is designed to run locally on personal devices, prioritizing conversational fluency and emotional intelligence over mathematical or coding performance.

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Lythri-4B-A2B: An On-Device LLM for Emotional Companionship

Lythri-4B-A2B is a 5.1 billion parameter model (2.3B active parameters) from the Lythri family, built upon the Gemma 4 E2B base model. Unlike many LLMs focused on traditional benchmarks like math or coding, Lythri is specifically designed for emotional companionship and natural, multi-turn conversations. It is optimized to understand human feelings and maintain engaging dialogues, while remaining small enough to run efficiently on local devices like laptops and phones.

Key Capabilities

  • Emotional Intelligence: Trained to understand and respond to human emotions, facilitating empathetic interactions.
  • Natural Conversation: Excels at holding fluid, multi-turn dialogues.
  • On-Device Performance: Designed for local execution, making it suitable for privacy-sensitive or offline applications.
  • Compact Size: With 5.1 billion parameters, it balances capability with the efficiency needed for personal devices.

Good For

  • Personalized AI Companions: Creating applications that require an emotionally intelligent conversational agent.
  • Interactive Storytelling: Generating dynamic narratives that respond to user sentiment.
  • Local AI Applications: Deploying conversational AI directly on user devices for enhanced privacy and accessibility.
  • Use cases prioritizing emotional understanding and conversational flow over complex reasoning or factual recall.

Limitations

It's important to note that Lythri is not optimized for complex mathematical problems, coding tasks, or advanced reasoning. It is also not a substitute for professional mental health support.