README.md

---
base_model: google/functiongemma-270m-it
library_name: transformers
model_name: final_model_stable
tags:
- generated_from_trainer
- sft
- trl
licence: license
---

# Model Card for functiongemma-smarthome

[Dataset](https://huggingface.co/datasets/altaidevorg/smarthome-tool-calling-tiny) | [Notebook](https://github.com/altaidevorg/functiongemma-afterimage-demo/blob/main/fgemma-training.ipynb) | [Demo Video](https://www.youtube.com/watch?v=TJxtyrWSgo0)

This model is a fine-tuned version of [google/functiongemma-270m-it](https://huggingface.co/google/functiongemma-270m-it) on a [custom tool-calling dataset](https://huggingface.co/datasets/altaidevorg/smarthome-tool-calling-tiny) synthetically generated with Afterimage, our purpose-built synthetic dataset generation engine.

See the [demo video](https://www.youtube.com/watch?v=TJxtyrWSgo0).

## What is Afterimage?
Building custom Small Language Models (SLMs) starts with great data. Afterimage eliminates the tedious data preparation bottleneck by transforming your organization's unstructured documents into high-quality, LLM-ready Q&A sets, tool-calling datasets and/or other types  of structured datasets automatically. It is highly customizable and and aimed at transforming enterprises' way of customizing LLMs.

## About ALTAI
ALTAI is a secure, no-code platform that enables organizations to create, train, and deploy customized SLMs using their own internal documents. From "Letsearch" (RAG Engine) to on-premise deployment, we make LLM customization uncool again—simply effective. It can work 100% on-premise and requires 0 technical experience.