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Best Uncensored LLMs. Top-Ranked Uncensored Large Language Models. Was this list helpful?

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Best Uncensored LLMs. Top-Ranked Uncensored Large Language Models.
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Model Name Maintainer Size Score VRAM (GB) Quantized License Context Len Likes Downloads Modified Languages Architectures
— Large Language Model
— Adapter
— Code-Generating Model
— Listed on LMSys Arena Bot ELO Rating
— Original Model
— Merged Model
— Instruction-Based Model
— Quantized Model
— Finetuned Model
— Mixture-Of-Experts
Table Headers Explained  
  • Name — The title and maintainer account associated with the model.
  • Params — The number of parameters used in the model.
  • Score — The model's score depending on the selected rating (default is the Open LLM Leaderboard on HuggingFace).
  • Likes — The number of "likes" given to the model by users.
  • VRAM — The number of GB required to load the model into the memory. It is not the actual required amount of RAM for inference, but could be used as a reference.
  • Downloads — The total number of downloads for the model.
  • Quantized — Specifies whether the model is quantized.
  • CodeGen — Specifies whether the model can recognize or infer source code.
  • License — The type of license associated with the model.
  • Languages — The list of languages supported by the model (where specified).
  • Maintainer — The author or maintainer of the model.
  • Architectures — The transformer architecture used in the model.
  • Context Len — The content length supported by the model.
  • Tags — The list of tags specified by the model's maintainer.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801