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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
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
https://huggingface.co/papers?q=companion
We will release our code on a companion link:\nhttps://github
https://huggingface.co/datasets/teknium/OpenHermes-2.5
,"Taco Seasoning Recipe":1,"Invite collaborator privately.":1,"æ��高自律能力":1,"Stinky Doge Coin Rap":1,"エクセル:文å—列ã�®çµ�å�ˆ (Excel: Concatenating Strings)":1}}}},{"name":"topic","align":"right","type":"null","statistics
https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github
https://huggingface.co/papers?q=persona
While Persona prompting (PP) is increasingly used as a way to steer model towards user-specific generation, its effect on model rationales remains underexplored
https://huggingface.co/docs/hub/jobs-manage
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https://huggingface.co/papers/2005.05968
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https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B
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https://huggingface.co/organizations/microsoft/activity/articles
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https://huggingface.co/inference/models
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https://huggingface.co/docs/hub/storage-buckets-integrations
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