| --- |
| library_name: torq |
| tags: |
| - Large Language Model |
| - Astra SL |
| - SL2600 |
| - MPU |
| license: gemma |
| base_model: |
| - google/functiongemma-270m-it |
| base_model_relation: quantized |
| --- |
| |
| # FunctionGemma 270M |
|
|
| ## Model Overview |
|
|
| FunctionGemma is a lightweight, open model from Google built on Gemma 3 270M and trained specifically for function calling. It provides a foundation for developing specialized models through further fine-tuning, rather than serving as a general-purpose conversational model. Its compact architecture makes it well suited to adapting function-calling capabilities to specific tasks. |
|
|
| FunctionGemma 270M has been optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU. |
|
|
| ## Model Features |
|
|
| - **Model Type:** Function-calling language model |
| - **Input:** Text |
| - **Output:** Text, including structured function calls |
|
|
| ## Deployment |
|
|
| The compiled model files are available for download in this Hugging Face repository. |
|
|
| ## Learn More |
| - [FunctionGemma Documentation](https://ai.google.dev/gemma/docs/functiongemma): Learn more about Google’s FunctionGemma model and its function-calling capabilities. |
| - [Synaptics AI Developer Zone](https://developer.synaptics.com?utm_source=hf): Get started with documentation, tutorials and resources for your Edge AI journey. |
| - [Astra Support Portal](https://synacsm.atlassian.net/servicedesk/customer/portal/543?utm_source=hf): Connect with our engineering team and community. |
