jammie252/Gemma_3_4b_function_dungeon
VISIONConcurrency Cost:1Model Size:4.3BQuant:BF16Ctx Length:32kPublished:May 30, 2025Architecture:Transformer Cold

The jammie252/Gemma_3_4b_function_dungeon is a 4.3 billion parameter language model with a 32768 token context length. This model is part of the Gemma family, developed by jammie252. Its specific fine-tuning for "function dungeon" suggests an optimization for tasks involving function calling, code generation, or interactive, dungeon-like text adventures.

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Model Overview

The jammie252/Gemma_3_4b_function_dungeon is a 4.3 billion parameter language model, featuring a substantial context length of 32768 tokens. Developed by jammie252, this model is based on the Gemma architecture, indicating a foundation in Google's open models.

Key Characteristics

  • Parameter Count: 4.3 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: A large 32768 token context window, enabling the model to process and generate longer, more coherent sequences of text.
  • Specialization: The "function_dungeon" naming convention strongly implies a fine-tuning focus on tasks related to function calling, structured output generation, or interactive narrative environments, potentially involving game logic or complex command interpretation.

Potential Use Cases

  • Function Calling: Generating or interpreting function calls for external tools or APIs.
  • Code Generation: Assisting with code snippets, especially in scenarios requiring specific function structures.
  • Interactive Narratives: Developing complex text-based games, interactive stories, or dungeon-crawler style applications where the model needs to understand and respond to intricate commands and state changes.
  • Structured Output: Tasks requiring the model to produce output in a predefined format, such as JSON or XML, based on natural language prompts.