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24 alternativesWiki LLM List
This Wikipedia page lists large language models and notes that additional citations are needed.
About Wiki LLM List
This page is a Wikipedia list of large language models. It describes a large language model as a type of machine learning model for natural language processing tasks such as language generation, trained with self-supervised learning on a large amount of text.
The list is organized by year, starting with 2018 models such as GPT-1 and BERT. For each model, the table shows the name, release date, developer, number of parameters, corpus size, training cost, license, and notes. Entries include models from developers such as OpenAI, Google, Meta, and others.
The page notes that it is a dynamic list that may not be complete and needs additional citations. Readers can browse and compare models, and editors can add missing items with references to reliable sources. It suits readers looking for a central reference overview of language models.
Key features
- Lists large language models organized by release year
- Shows developer, parameter count, and license
- Shows corpus size and training cost
- Includes notes on architecture and training
- Defines large language models and training method
Best for: Readers who want a central reference for comparing large language models.
Good for
- Covers models from multiple developers in one table
- Presents technical details side by side for comparison
- Accessible on the web in English
Watch out for
- Needs additional citations for verification
- Stated as a dynamic list that may be incomplete
Wiki LLM List at a glance
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Wiki LLM List FAQ
What is the List of large language models page?
It is a Wikipedia page that lists large language models and explains them as machine learning models for natural language processing.
What details are shown for each model?
Each entry shows name, release date, developer, parameter count, corpus size, training cost, license, and notes.
Is the list complete?
No. The page states it is a dynamic list that may never satisfy standards for completeness.
Can the list be edited?
Yes. The page invites editing to add missing items with references to reliable sources.
Is something wrong or out of date?
Tell us and an editor will check it.
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