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BoxyML/
functiongemma-270m-it-fine-tuned

google/functiongemma-270m-it

finetune

gemma

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functiongemma-270m-it-fine-tuned

Overview

This model is a fine-tuned version of google/functiongemma-270m-it, specifically optimized for function-calling tasks and executing mobile actions.

Intended Use

It is intended for developers looking for a lightweight model capable of interpreting user prompts and transforming them into structured tool calls or API requests, particularly in mobile development contexts.

Architecture

Based on the Gemma architecture, this model features 270 million parameters, offering an excellent balance between computational efficiency and performance for device-level deployment.

Basic Usage Instructions

You can load and use this model with the Hugging Face transformers library:

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BoxyML/functiongemma-270m-it-fine-tuned")
model = AutoModelForCausalLM.from_pretrained("BoxyML/functiongemma-270m-it-fine-tuned")