Very cool model! Congrats on the work!
Thank you much for the kind words
Readit Newscanyon289 commented on FunctionGemma 270M Model blog.google/technology/de... · Posted by u/mariobm
Cool game! Amazing it can run in the browser. My mind was blown when I saw you could give goal based commands vs prescriptive ones. https://huggingface.co/spaces/webml-community/FunctionGemma-...
So I didn't even know this was going to be made until recently, and when I saw it, it also blew my mind. I didn't realize how far along web ml community had pushed things, and was impressed by the creativity of the HF folks with visuals and "game flow".
Personally speaking its really neat to see other people who take these models and run with them, creating things I could haven't have imagined. I'm hoping many others in the open community do the same in the coming weeks and the new year
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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!
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canyon289 commented on Bayesian Data Analysis, Third edition (2013) [pdf] sites.stat.columbia.edu/g... · Posted by u/ibobev
BDA is THE book to learn Bayesian Modeling in depth rigorously. For different approaches there are a number shared here like Statistical Rethinking from Richard McElreath or Regression and other stories which Gelman and Aki wrote as well.
I also write a book on the topic which is focused a code and example approach. It's available for open access here. https://bayesiancomputationbook.com
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canyon289 commented on Gemma 3 270M re-implemented in pure PyTorch for local tinkering github.com/rasbt/LLMs-fro... · Posted by u/ModelForge
Does it have function calls? Can we use it with MCP?
It can possibly perform basic prompted FC but I wouldn't get your hopes up. It should be to be a solild FC model if trained on specific tools and format. I would not expect great MCP performance because the context window is 32k and most MCP servers I've see implicitly assume massive context windows.
canyon289 commented on Gemma 3 270M re-implemented in pure PyTorch for local tinkering github.com/rasbt/LLMs-fro... · Posted by u/ModelForge
This might be a very basic question, but as a dev whose only interaction with models is using the main commercial ones (sonnet, ChatGPT and the like), what are some usecases for these smaller local models?
What usages can be reasonable to expect from them? Are there uses out of the box or does one have to go through some custom post-training to get useful behavior?
I feel like there is a huge gap between understanding models as a user of commercial tools and the kind of discussions happening in these threads, but I’m not sure what are the in-between steps.
Its a crucial question. I wrote up a long answer here. Let me know it helps