Working implementation of Flamingo for Multitask using a xlarge configuration. The repository focuses on transparent code and repeatable smoke tests; benchmark claims are deliberately omitted. - The Python file contains the model and runnable example or training entry point. - config.json records the generated architecture settings. - trainingargs.json records the default experiment recipe. - model.safetensors is a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint. - No benchmark score is claimed in this repository. The included configuration uses lion with a cosine schedule. These are starting values in the script, not evidence of a…
Independent publisher
Laura Ferreira
Leferreira
Learning ML every day. Love open source and cool models.
Models in Library1
Datasets in Library0
Models on Hugging Face3
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