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Open-source tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5 model from gradients-io-tournaments — available for download and self-hosting on Hugging Face.
Best for
Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('gradients-io-tournaments/tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5'); model = AutoModelForCausalLM.from_pretrained('gradients-io-tournaments/tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5'); print('Loaded gradients-io-tournaments/tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5')"Presumptive Specs:
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
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Learn how to use tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5
💡 Tip: Start with the sample prompts above to see how tournament-tourn_fe766a02d497d0ee_20260629-ad0a55e7-6e0d-4f7d-b3d7-d37e6c7f4f50-5D7iEJm5 works best.
Proven prompts shared by the community for this model