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Freshness: newest result fetched 24 d ago · median age of these results 24 d · 1 of 10 carry a fetch time

com/InternLM/InternLM"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"metric_type\": \"raw\", \"multimodal_input\": false, \"notes\": \"Per InternLM3 GitHub README
from the top result below

microsoft/benchpress-score-matrix · Datasets at Hugging Face

https://huggingface.co/datasets/microsoft/benchpress-score-matrix
com/eval-sys/mcpmark"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"judge\": \"programmatic verification scripts\", \"metric_type\": \"pct\", \"multimodal_input\": false, \"notes\": \"Official sources are arXiv:2509

Daily Papers - Hugging Face

https://huggingface.co/papers?q=reflective%20essays
com/rosewang2008/sight","githubRepoAddedBy":"auto","ai_summary":"A dataset and automated methods using large language models classify online student feedback efficiently, enhancing teacher improvement from lectures

koboldcpp (Koboldcpp)

https://huggingface.co/koboldcpp
com/LostRuins/koboldcpp/releases/latest\" rel=\"nofollow\">KoboldCpp Github releases</a>\nLinux, Windows and MacOS are supported - pick the correct binary for your OS

Daily Papers - Hugging Face

https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency

Daily Papers - Hugging Face

https://huggingface.co/papers?q=persona
Using datasets annotated with word-level rationales, we measure agreement with human annotations from different demographic groups, and assess the impact of PP on model bias and human alignment

Daily Papers - Hugging Face

https://huggingface.co/papers?q=role-play
Moreover, EBM-RL demonstrates strong zero-shot transfer to out-of-domain VideoQA benchmarks without additional fine-tuning

GitHub Actions · Hugging Face

https://huggingface.co/docs/hub/repositories-github-actions
For keyless publishing — no HF_TOKEN secret to store or rotate — see Trusted Publishers, which exchanges GitHub Actions’ built-in OIDC token for a short-lived, repo-scoped Hub token at the start of each run

Trending Papers - Hugging Face

https://huggingface.co/papers/trending
8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window

Storage limits · Hugging Face

https://huggingface.co/docs/hub/storage-limits
Storage limits and policies apply to all types of repositories (models, datasets, buckets, …) on the Hub

2048 Token Examples":1,"Collaboration for Effective Communication.":1

https://huggingface.co/datasets/teknium/OpenHermes-2.5
99934,"no_label_count":0,"no_label_proportion":0,"n_unique":175,"frequencies":{"International Liquidity Account":5,"Services Account":4,"Total Outlay/Expenditure Method":4,"Central Problems of an Economy":3,"Meaning of Deficient Demand":4,"Deficit and Surplus Balance of Payments":4,"Balance of Payments on Current