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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,"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
https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github
https://huggingface.co/papers?q=persona
These 1 billion personas (~13% of the world's total population), acting as distributed carriers of world knowledge, can tap into almost every perspective encapsulated within the LLM, thereby facilitating the creation of diverse synthetic data at scale for various scenarios
https://huggingface.co/papers?q=role-play
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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
https://huggingface.co/papers/trending
8T scale, Kimi K3 is supported by infrastructure advances in multiple areas: algorithm-system co-design for KDA, perfectly balanced expert-parallel training with efficient memory management, million-token agentic RL with persistent rollout and sandbox states, and deployment innovations
https://huggingface.co/docs/hub/repositories-github-actions
The official huggingface/hub-sync action supports syncing Models, Datasets, and Spaces
https://huggingface.co/docs/hub/storage-limits
co or when working locally, can be very annoying