LLM EXPLORER
 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? 39237 in total.

LLMs for 16GB VRAM: Large Language Models Fit in 16GB VRAM Was this list helpful?

If your GPU hardware is limited to 16GB VRAM, you can find the top-performing LLMs in our directory with dynamics filtering and sorting.
Find the best models that will be good at inference with 16GB VRAM.
For cutting-edge proficiency in language modeling within 16GB memory constraints, our model list is your premier guide. Discover your ideal language model tailored for 16GB VRAM with our in-depth comparisons and analyses in the list below.
Model Size
Model VRAM
LLMs for 16GB VRAM: Large Language Models Fit in 16GB 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

LLM Explorer "Score" is the dynamically calculated score depending on the various parameters. Read more...

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 v20241124
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