How to use justinj92/gpt-oss-20B-pacmanplayer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("justinj92/gpt-oss-20B-pacmanplayer") model = AutoModelForCausalLM.from_pretrained("justinj92/gpt-oss-20B-pacmanplayer")
How to use justinj92/gpt-oss-20B-pacmanplayer with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for justinj92/gpt-oss-20B-pacmanplayer to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for justinj92/gpt-oss-20B-pacmanplayer to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for justinj92/gpt-oss-20B-pacmanplayer to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="justinj92/gpt-oss-20B-pacmanplayer", max_seq_length=2048, )
This model was trained using Group Relative Policy Optimization (GRPO) to generate Python strategies for playing Atari Ms. Pac-Man.
Chat template
Files info
Base model
