jedick/functiongemma-langcalc-en
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.3BQuant:BF16Context Size:32kPublished:Sep 18, 2026License:gemmaArchitecture:Transformer Featherless Exclusive Cold
jedick/functiongemma-langcalc-en is a 0.3 billion parameter model fine-tuned from Google's FunctionGemma-270m-it architecture. This model is specifically adapted for language calculation tasks, leveraging its base in function-calling models. It is designed to excel in scenarios requiring precise interpretation and execution of language-based computational instructions.
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jedick/functiongemma-langcalc-en Overview
This model is a specialized variant of Google's FunctionGemma-270m-it, fine-tuned by jedick. With 0.3 billion parameters and a context length of 32768 tokens, it builds upon the robust foundation of the FunctionGemma architecture, which is known for its capabilities in function calling and tool use.
Key Capabilities
- Function-Calling Foundation: Inherits and enhances the function-calling abilities from its base model,
google/functiongemma-270m-it. - Language Calculation Focus: Specifically optimized for tasks that involve interpreting and performing calculations based on natural language inputs.
- Efficient Parameter Count: At 0.3 billion parameters, it offers a compact solution for integration into applications where resource efficiency is important.
Good For
- Language-based Computation: Ideal for applications requiring the model to understand and execute mathematical or logical operations described in natural language.
- Tool Use and Function Calling: Suitable for scenarios where the model needs to interact with external tools or APIs by generating appropriate function calls based on user prompts.
- Resource-Constrained Environments: Its smaller parameter count makes it a viable option for deployment in environments with limited computational resources, while still offering specialized capabilities.