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.

7B Params Large Language Models, Open-Source LLMs Was this list helpful?

Seeking the best 7B parameter open-source language model? Explore top-performing LLMs in our comprehensive directory. How does the 7b parameter model excel in accuracy and efficiency across open-source models?
Our list features the top 7b params models, highlighting their standout capabilities in language processing. Compare leading LLMs and SLMs for their innovative features and performance benchmarks.
Which 7B model 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, our model list is your premier guide. Discover your ideal 7b language model with our in-depth comparisons and analyses in the list below.
Model Size
Model VRAM
7B Params Large Language Models, Open-Source LLMs
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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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  All Large Language Models   LMSYS ChatBot Arena ELO   OpenLLM LeaderBoard v1   OpenLLM LeaderBoard v2   Original & Foundation LLMs   OpenCompass LeaderBoard   Recently Added Models   Code Generating Models   Instruction-Based LLMs   Uncensored LLMs   LLMs Fit in 4GB RAM   LLMs Fit in 8GB RAM   LLMs Fit in 12GB RAM   LLMs Fit in 24GB RAM   LLMs Fit in 32GB RAM   GGUF Quantized Models   GPTQ Quantized Models   EXL2 Quantized Models   Fine-Tuned Models   LLMs for Commercial Use   TheBloke's Models   Context Size >16K Tokens   Mixture-Of-Experts Models   Apple's MLX LLMs   Small Language Models
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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