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ben burtenshaw

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updated a Space 1 day ago
data-is-better-together/image-preferences-leaderboard
Reacted to davidberenstein1957's post with ➕ 1 day ago
Let’s make a generation of amazing image-generation models The best image generation models are trained on human preference datasets, where annotators have selected the best image from a choice of two. Unfortunately, many of these datasets are closed source so the community cannot train open models on them. Let’s change that! The community can contribute image preferences for an open-source dataset that could be used for building AI models that convert text to image, like the flux or stable diffusion families. The dataset will be open source so everyone can use it to train models that we can all use. Blog: https://huggingface.co/blog/burtenshaw/image-preferences
Reacted to davidberenstein1957's post with 😎 1 day ago
Let’s make a generation of amazing image-generation models The best image generation models are trained on human preference datasets, where annotators have selected the best image from a choice of two. Unfortunately, many of these datasets are closed source so the community cannot train open models on them. Let’s change that! The community can contribute image preferences for an open-source dataset that could be used for building AI models that convert text to image, like the flux or stable diffusion families. The dataset will be open source so everyone can use it to train models that we can all use. Blog: https://huggingface.co/blog/burtenshaw/image-preferences
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SFT + Quantisation + Unsloth is a super easy way of squeezing extra performance out of an LLM at low latencies. Here are some hand y resources to bootstrap your projects.

Here's a filtered dataset from Helpsteer2 with the most correct and coherent samples: burtenshaw/helpsteer-2-plus
This is a SFT finetuned model: ttps://huggingface.co/burtenshaw/gemma-help-tiny-sft
This is the notebook I use to train the model: https://colab.research.google.com/drive/17oskw_5lil5C3jCW34rA-EXjXnGgRRZw?usp=sharing
Here's a load of Unsloth notebook on finetuning and inference: https://docs.unsloth.ai/get-started/unsloth-notebooks

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Gemma HelpSteer
A work in progress collection of resources related to a project to finetune Gemma 2 2b for helpfulness with Helpsteer2.

Papers 1