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Parameter counts in open-source LLMs tracked over time

A data visualization tracks the evolution of parameter counts in open-source large language models over time. The analysis includes models from various companies, plotting their release dates against their parameter sizes. Specific attention is given to the trends observed in models from Qwen, Deepseek, and Google. AI

IMPACT Provides insight into the scaling trends of open-source large language models.

RANK_REASON The cluster presents a data visualization and analysis of open-source LLM parameter counts over time, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Parameter counts in open-source LLMs tracked over time

How we ranked this

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1 / 100
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Tool
The cluster presents a data visualization and analysis of open-source LLM parameter counts over time, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Independent_Fall9160 ·

    Change in number of parameters in models over time

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xpyr1k/change_in_number_of_parameters_in_models_over_time/"> <img alt="Change in number of parameters in models over time" src="https://preview.redd.it/29048sybn40i1.png?width=140&amp;height=106&amp;auto=webp…