FunctionGemma translates what you type into a predictable function call format that programs can execute. Stop parsing unpredictable AI responses. Start building reliable automation with FunctionGemma.
FunctionGemma is a specialized version of Gemma 3 270M, fine-tuned specifically for function calling tasks.
Most AI models produce free-form text. That works great for chatting, but it creates problems when you need software to take real actions. How do you parse "Sure, I can check the weather for you! It looks like New York is experiencing..." into something a program can use?
FunctionGemma solves this problem. Instead of generating conversational responses, FunctionGemma produces structured JSON function calls with clear parameters. When you tell FunctionGemma to "check the weather in New York," it outputs a machine-readable instruction that your system can execute immediately.
Built on Google's Gemma 3 architecture, FunctionGemma maintains the language understanding capabilities of larger models while being optimized for a specific task: converting natural language into actionable function calls. This focus makes FunctionGemma both accurate and efficient.
Traditional AI outputs create real challenges for developers building automated systems. FunctionGemma addresses these pain points directly.
Free-form AI text varies wildly between requests. The same question might produce completely different response structures, making it nearly impossible to build reliable integrations. FunctionGemma produces consistent, predictable JSON every time, so your parsing code actually works.
When AI models describe actions in natural language, extracting the right parameters becomes guesswork. Is the date "tomorrow" or "2024-01-15"? FunctionGemma maps user intent to structured arguments, eliminating ambiguity and reducing integration errors significantly.
When something goes wrong with a conversational AI response, tracing the error back to its source is tedious. With FunctionGemma, you get clean JSON outputs that are easy to log, inspect, and debug. The structured format makes troubleshooting straightforward.
Teams spend countless hours writing regex patterns and parsing logic to extract meaning from AI responses. FunctionGemma eliminates this busywork by providing the structure upfront. What used to require complex parsing now requires simple JSON access.
Many function-calling solutions require massive cloud-hosted models with latency and privacy concerns. FunctionGemma's compact size means you can run it locally, on edge devices, or in privacy-sensitive environments without sacrificing capability.
Watch how FunctionGemma transforms natural language into structured function calls. Select an example below to see the input, the JSON output from FunctionGemma, and how your system would respond.
{ "name": "get_weather", "arguments": { "location": "New York", "date": "today" } }
Calls weather API to fetch current conditions for New York, then formats a summary.
This is an example output. The live interactive FunctionGemma playground is coming soon.
FunctionGemma follows a simple four-step process to transform your words into actions.
You express your request in plain English. No special syntax required. Just describe what you want to happen, and FunctionGemma understands your intent.
FunctionGemma analyzes your request and maps it to the appropriate function from your defined tool schema. It extracts relevant parameters automatically.
FunctionGemma outputs a clean JSON object containing the function name and structured arguments. This output is ready for your system to process.
Your application takes the FunctionGemma output and executes the corresponding action. The structured format makes integration seamless and reliable.
FunctionGemma enables a wide range of applications where natural language needs to trigger real actions.
Build autonomous agents that understand user requests and take appropriate actions. FunctionGemma provides the reliable function-calling backbone your agent needs.
Create voice assistants and chatbots that actually do things. FunctionGemma converts spoken or typed commands into executable instructions for your application.
Automate support workflows by turning customer requests into ticketing actions, lookups, and resolutions. FunctionGemma helps route and process inquiries automatically.
Let users request data in natural language. FunctionGemma translates questions like "show me last month's sales" into structured database queries.
Control devices with natural commands. FunctionGemma converts "turn off the living room lights" into the exact API call your smart home system needs.
Coordinate multiple services with natural language. FunctionGemma can determine which APIs to call and with what parameters to fulfill complex requests.
Trigger business processes with simple commands. FunctionGemma bridges the gap between human requests and automated workflow execution.
Run FunctionGemma locally on edge devices for privacy-sensitive applications. The compact model size makes on-device deployment practical.
Common questions about FunctionGemma, function calling, and how to get started.
{"name": "get_weather", "arguments": {"location": "Tokyo", "date": "today"}}. This predictable, machine-readable format makes integration with your existing systems straightforward. The exact structure follows standard function-calling conventions.
Official documentation, model downloads, and learning materials to help you get started with FunctionGemma.
Complete guide to using FunctionGemma, including setup instructions and API reference.
Read the Docs →Download FunctionGemma from Hugging Face Hub and start running it locally in minutes.
Get the Model →Learn about function calling concepts and how they apply to Gemini and Gemma models.
Learn More →Explore FunctionGemma on Google DeepMind's official model page with technical details.
Visit DeepMind →Want the live FunctionGemma playground? Leave your email and we'll notify you when it's ready. Be the first to try the interactive demo.