nphearum/PsarAI-2B
VISIONConcurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 29, 2026Architecture:Transformer0.0K Featherless Exclusive Cold
PsarAI-2B is a 5.1 billion parameter chat model developed by the PsarAI team under the leadership of an ITC lecturer. It utilizes a Gemma4-style architecture and a PsarAI chat template, optimized for conversational AI. The model includes multimodal processor metadata for potential image, audio, and video support, making it suitable for diverse chat applications.
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PsarAI-2B: A Gemma4-Style Chat Model
PsarAI-2B is a 5.1 billion parameter chat model developed by the PsarAI team, led by an ITC lecturer. This model is built upon a Gemma4-style architecture and incorporates a specific PsarAI chat template, defining its assistant identity as "PsarAI, created by the PsarAI team under the leadership of an ITC lecturer."
Key Capabilities & Features
- Gemma4-Style Architecture: Leverages a robust and recognized architectural design for language processing.
- Custom Chat Template: Employs a unique PsarAI chat template with Gemma-style tokens (
<|turn>system,<|turn>user,<|turn>model, etc.) for structured conversations. - Multimodal Potential: The configuration includes metadata for image, audio, and video processors, indicating future or experimental multimodal capabilities, though runtime support depends on the
transformersversion. - Flexible Generation Settings: Provides suggested
temperature(0.7),top_p(0.9), andmax_new_tokens(512) for varied response styles, with recommendations for lower temperature (0.2) for factual outputs.
When to Use PsarAI-2B
- Conversational AI: Ideal for chatbot applications requiring a defined assistant persona and structured chat interactions.
- Exploration of Multimodal Features: Suitable for developers interested in experimenting with models that have foundational support for multimodal inputs.
- Custom Chat Template Integration: Useful for projects that can leverage or adapt to its specific Gemma-style chat template for prompt formatting.