Loading...
Loading...
Open-source tournament-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61 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-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61'); model = AutoModelForCausalLM.from_pretrained('gradients-io-tournaments/tournament-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61'); print('Loaded gradients-io-tournaments/tournament-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61')"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.
Not enough historical data yet. Check back after the next pricing sync.
Provider
Learn how to use tournament-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61
💡 Tip: Start with the sample prompts above to see how tournament-exp-s1-9611f54a-5877-41de-9fe1-3248473b62a8-5Exp3012670896a0ec61 works best.
Proven prompts shared by the community for this model