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\nFinal Answer: #En\n\nQuestion: What is the significance of the Battle of Hastings and who were the key figures involved
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2048 Token Examples":1,"Collaboration for Effective Communication.":1

https://huggingface.co/datasets/teknium/OpenHermes-2.5
,"Taco Seasoning Recipe":1,"Invite collaborator privately.":1,"提高自律能力":1,"Stinky Doge Coin Rap":1,"エクセル:文字列の結合 (Excel: Concatenating Strings)":1}}}},{"name":"topic","align":"right","type":"null","statistics

Daily Papers - Hugging Face

https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github

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

https://huggingface.co/datasets/microsoft/benchpress-score-matrix
00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row

Daily Papers - Hugging Face

https://huggingface.co/papers?q=companion
We will release our code on a companion link:\nhttps://github

Daily Papers - Hugging Face

https://huggingface.co/papers?q=persona
The full dataset and benchmarks are available here: https://www

Daily Papers - Hugging Face

https://huggingface.co/papers?q=role-play
Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team

Trending Papers - Hugging Face

https://huggingface.co/papers/trending
Beyond model artifacts, we deliver seven key empirical findings covering pre-training data efficiency, variable-resolution scaling, codec system acceleration, VideoQA SFT redundancy, motion-spatial synergy, AI4AI data pipelines, and Zero-Vision SFT for multimodal RL

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

koboldcpp (Koboldcpp)

https://huggingface.co/koboldcpp
You can do so by downloading it from the <a href=\"https://github

Storage limits · Hugging Face

https://huggingface.co/docs/hub/storage-limits
Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team