CalmState/gemma-3-4b-polyglot-v1

VISIONConcurrency Cost:1Model Size:4.3BQuant:BF16Ctx Length:32kLicense:apache-2.0Architecture:Transformer0.0K Open Weights Cold

CalmState/gemma-3-4b-polyglot-v1 is a 4.3 billion parameter model developed by CalmState, fine-tuned from Google's Gemma 3 4B architecture with a 32768 token context length. This model is specifically optimized for strict adherence to suffix-based commands, providing direct, non-conversational responses for tasks like translation, grammar correction, and tone rewriting. It is designed to integrate seamlessly into the Polyglot Air desktop application workflow, ensuring instant and clean output without filler.

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CalmState/gemma-3-4b-polyglot-v1: Specialized Gemma 3 Fine-Tune

This model is a specialized fine-tune of Google's Gemma 3 4B developed by CalmState, featuring 4.3 billion parameters and a 32768 token context length. It is specifically optimized for the Polyglot Air desktop application workflow, focusing on strict adherence to suffix-based commands. Unlike general-purpose chat models, this fine-tune is engineered to provide instant, clean, and direct responses without conversational filler or preambles, treating ::suffix as a strict instruction code.

Key Capabilities

  • Strict Instruction Following: Designed to process suffix-based commands for precise transformations.
  • Multilingual Translation: Supports translation to English (::en), Portuguese (Portugal ::pt, Brazil ::ptbr), Spanish (::es), and Chinese (::zh).
  • Text Transformation: Includes functions for grammar and spelling correction (::fix), rewriting in a formal tone (::formal), and rewriting in a casual tone (::casual).
  • Summarization: Capable of generating concise summaries of longer texts (::summary).
  • Optimized for Integration: Built for seamless use within the Polyglot Air application, ensuring direct and non-conversational output.

Good For

  • Developers and users requiring a model that strictly follows commands for text manipulation.
  • Applications needing direct, non-conversational outputs for tasks like translation or text rephrasing.
  • Integration into desktop applications like Polyglot Air for efficient, instruction-driven text processing.