This model is part of an intervention study done in the paper [Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling](https://arxiv.org/abs/2304.01373) where we replaced all masculine pronouns with femanine ones and retrained the model for the last 21 billion tokens. The regular model can be found [here](https://huggingface.co/EleutherAI/pythia-6.9b-deduped).

**We do not recommend using this model for any purpose other than to study the influence of gender pronouns on language model behavior.**
{"license": "apache-2.0", "datasets": ["EleutherAI/the_pile"]}
transformers pytorch gpt_neox text-generation dataset:EleutherAI/the_pile arxiv:2304.01373 license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-EleutherAI/the_pile #arxiv-2304.01373 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

This model is part of an intervention study done in the paper Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling where we replaced all masculine pronouns with femanine ones and retrained the model for the last 21 billion tokens. The regular model can be found here.

We do not recommend using this model for any purpose other than to study the influence of gender pronouns on language model behavior.
TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-EleutherAI/the_pile #arxiv-2304.01373 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-EleutherAI/the_pile #arxiv-2304.01373 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
