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Meme++ generator.
This is a tiny LLaMA model trained from scratch for 31000 steps (253952000 tokens) out of i forgor :skull:.
This was intended for Meme++ character chard generation, trained a small demo.
Random Meme++ card generation.
CSAM related stuff.
This model was trained on a randomly scraped DataSet, I tried filtering as much as I could automatically, it might still try to generate kids because people are fucking weirdos.
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Meme++ character definition taken off the internet.
This was trained using lit-llama based model code and pytorch-lightning CLI based trainer code.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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BibTeX:
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APA:
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