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 LLM Explorer: A Curated Large Language Model Directory and Analytics
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What open-source LLMs or SLMs are you in search of? 36644 in total.

LLMs for 12GB VRAM: Large Language Models Fit in 12GB VRAM Was this list helpful?

If your GPU hardware is limited to 12GB VRAM, you can find the top-performing LLMs in our curated directory.
Which model designed for 12GB VRAM ranks highest for specific tasks and efficiency? Find these insights in our detailed directory, presenting each language model in clear, precise terms.
For cutting-edge proficiency in language modeling within 12GB memory constraints, our model list is your premier guide. Discover your ideal language model tailored for 12GB VRAM with our in-depth comparisons and analyses in the list below.
Model Size
Model VRAM
LLMs for 12GB VRAM: Large Language Models Fit in 12GB VRAM
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Here comes the list of the Small and Large Language Models
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 LLM Explorer Score).
  • Likes — The number of "likes" given to the model by users.
  • VRAM — The rough estimate of the GB required for inference.
  • 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 v2024072803
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