|
|
--- |
|
|
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. |
|
|
|
