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  - EleutherAI/pythia-160m
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  ---
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  # Model Card
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- The Pythia-160M model is designed for research on language model behavior and interpretability, trained on the Pile dataset. It has been evaluated on tasks like hellaswag and can be fine-tuned for further experimentation.
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- ## Evaluation Results - Hellaswag
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  Evaluated on the Eleuther evaluation harnessre, vision 100,000 steps
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  | Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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  | | |none | 0|acc_norm|↑ |0.3082|± |0.0046|
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  ## How to Use
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-
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- To use this model, simply download the checkpoint and load it into your preferred deep learning framework.
 
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  - EleutherAI/pythia-160m
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  ---
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  # Model Card
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+ The Pythia-160M model is designed for research on language model behavior and interpretability, trained on the [Pile](https://pile.eleuther.ai/) dataset. It has been evaluated on tasks like hellaswag and can be fine-tuned for further experimentation.
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+ ## Hellaswag Eval
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  Evaluated on the Eleuther evaluation harnessre, vision 100,000 steps
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  | Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
 
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  | | |none | 0|acc_norm|↑ |0.3082|± |0.0046|
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  ## How to Use
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+ Not intended for deployment or human-facing interactions.