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Open-source pythia-160m-ppt-control_shuffle_dyck_steps250-seed1024 model from sashaboguraev — available for download and self-hosting on Hugging Face.
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Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps250-seed1024'); model = AutoModelForCausalLM.from_pretrained('sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps250-seed1024'); print('Loaded sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps250-seed1024')"Presumptive Specs:
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