What's your goto SDXL fine-tune these days?
OPEN SOURCE
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Open-source Mixtral beats GPT3.5 in LangChain agents
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We've worked with @andrewrreed and Joffrey Thomas on making it possible to build LangChain agents powered by open-source models. On our benchmark, Mixtral is the most competitive of all OS models, even surpassing GPT3.5 Read our blog post here: https://
huggingface.co/blog/open-sour
ce-llms-as-agents
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Moondream1 Vision Model Outperforms Larger Models Locally
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This vision model, Moondream1 is so good that I had to make a @streamlit app for it.
— Pietro Schirano (@skirano) 23 janvier 2024
Despite being just 1.6B parameters, it outperforms much larger models I've tested.
And it runs completely locally and free on your CPU.
Video is at real speed.
Link to the repo 👇 https://t.co/v1gxvwSp4R pic.twitter.com/PPqiOgdCXNThis vision model, Moondream1 is so good that I had to make a @streamlit app for it. Despite being just 1.6B parameters, it outperforms much larger models I've tested. And it runs completely locally and free on your CPU. is at real speed. Link to the repo
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Undisclosed AI Projects Demonstrate Unexpected Progress
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The things I've seen are not open source. I've recently seen two separate projects that proved to me we're further along than I realized in this area.
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Meta Pursues Open Source AGI Strategy Like PyTorch
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After sparking the open source model revolution in AI, Meta has set its sights on AGI—and it wants to do it open source, if it can. If that strategy sounds familiar, it should! I dig into it more and its similarity with PyTorch, its other AI crown jewel.
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Panel on Open Source AI at Davos with Leading Experts
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Panel on Open Source in AI from the AI House at Davos with @bschoelkopf @ylecun expertly chaired by Jess Montgomery of @ai_cam_mission
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Threading Integration Discussion in HuggingFace Datasets Library
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i was looking this up and there's actually some discussion on eventually integrating this: http://
github.com/huggingface/da
tasets/issues/2252
… i think there are some complicated issues that make the threading hard to merge for the general case, not sure exactly why so i just post code here instead 🙂 -
Optimizing HuggingFace Dataset Loading Performance
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wrote some faster dataloading code for HuggingFace datasets – sped up datasets.load_from_disk() from 17 minutes to around 30s the problem I was running into is that our virtual disk at school is really slow. HF loads datasets in a single thread and doesn't always memory-map.
