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FunctionGemma 270M Model

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Re: FunctionGemma 270M Model

#41

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

If I have a simple mainly question-answering AI using only a couple of tools (web search), am I better off starting with Gemma or FunctionGemma?

Re: FunctionGemma 270M Model

#42

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

hi! Does this bring us closer to a gemini-cli like experience using a local modal that can run on a macbook pro? It felt like gemma3n was already 'smart' enough it just wasn't tuned for tool use.

Re: FunctionGemma 270M Model

#44

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

Does this require webgpu to run on the browser?

Re: FunctionGemma 270M Model

#45
post #23

Earlier quoted context omitted.

Some fine tuning data questions: i see the the dataset Google published in this notebook https://github.com/google-gemini/gemma-cookbook/blob/main/Fu... -- from looking at the dataset on huggingface, it looks synthetically generated. 1. do you recommend any particular mix or focus in the dataset for finetuning this model, without losing too much generality? 2. do you have any recommendations for how many examples per…

> Do you recommend any particular mix or focus in the dataset for finetuning this model, without losing too much generality? Astute questions, there's sort of two ways to think about finetuning, 1. Obliterate any general functionality and train the model on your general commands 2. As you asked maintain generality trying to preserve initial model ability For 2 typically low learning rate or LORA is a good strategy. W…

it does; thanks so much, appreciate it!

Re: FunctionGemma 270M Model

#46

I’ve been wanting to fine tune models for home assistant but unsure how to get some synthetic data, any recommendations?

Check out the approach here: https://github.com/allenporter/home-assistant-datasets and the reports/ directory has a leaderboard for function calling. I'm curious to see how well this model does.

Re: FunctionGemma 270M Model

#47
My brain didn’t realize that the parameters were megabytes and not gigabytes and my reaction went from “meh” to “holy bananas!”

Great work from the Google ML teams, I’ll be trying this model out.

Re: FunctionGemma 270M Model

#48

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

Thank you. I felt that was a very under appreciated direction ( most of the spotlight seemed to be on 'biggest' models ).

Re: FunctionGemma 270M Model

#49

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

If I have a simple mainly question-answering AI using only a couple of tools (web search), am I better off starting with Gemma or FunctionGemma?

It depends on a couple of things. If you expect reasoning or frontier level chat abilities then larger Gemma models or Gemini is better.

Another hard constraint is context limit, Gemma 270m is at 32k so if the search results returned are massive then this not a great model. The larger 4b+ Gemma models have 128k, and Gemini token window is in the millions

Re: FunctionGemma 270M Model

#50

Hi all, I'm a research lead on this model. Same as every model release post, I enjoy working at Google for a multitude of reasons, and opinions here are my own. Happy to answer whatever technical questions I can!

hi! Does this bring us closer to a gemini-cli like experience using a local modal that can run on a macbook pro? It felt like gemma3n was already 'smart' enough it just wasn't tuned for tool use.

Its definitely a step in that direction. I use Gemma models on my local macbook all the time and am personally excited to have this one available for me at home now as well
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