Loading...
Loading...
Open-source tournament-tourn_fe766a02d497d0ee_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr 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_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr'); model = AutoModelForCausalLM.from_pretrained('gradients-io-tournaments/tournament-tourn_fe766a02d497d0ee_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr'); print('Loaded gradients-io-tournaments/tournament-tourn_fe766a02d497d0ee_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr')"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-tourn_fe766a02d497d0ee_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr
💡 Tip: Start with the sample prompts above to see how tournament-tourn_fe766a02d497d0ee_20260629-1e6772d3-fc2f-4a6e-92b7-c5bac3987152-5CAMXmFr works best.
Proven prompts shared by the community for this model