GPT4All: An Ecosystem of Open Source Compressed Language Models
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Abstract (arXiv)
Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind their performance. State-of-the-art LLMs require costly infrastructure; are only accessible via rate-limited, geo-locked, and censored web interfaces; and lack publicly available code and technical reports. In this paper, we tell the story of GPT4All, a popular open source repository that aims to democratize access to LLMs. We outline the technical details of the original GPT4All model family, as well as the evolution of the GPT4All project from a single model into a fully fledged open source ecosystem. It is our hope that this paper acts as both a technical overview of the original GPT4All models as well as a case study on the subsequent growth of the GPT4All open source ecosystem.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 5 of its 25 references that are in the map. First posted on arXiv 6 Nov 2023.
Builds on
5 of 25 references.
References · 5
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
- 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
- 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1,786
- 2021Multitask Prompted Training Enables Zero-Shot Task Generalizationcited by 1,470
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Citing papers per year: 2024: 4; 2025: 2; 2026: 2.
8 papers.
- 2024The Price of Prompting: Profiling Energy Use in Large Language Models Inferencecited by 23
- 2026UniSD: Towards a Unified Self-Distillation Framework for Large Language Modelscited by 7
- 2024Sparsity-Accelerated Training for Large Language Modelscited by 5
- 2025OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkitcited by 2
- 2024UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Datasetcited by 1
- 2024Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasetscited by 1
- 2025Stylometry recognizes human and LLM-generated texts in short samplescited by 0
- 2026JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocolscited by 0
- 2026JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocols27 Aug 2026
- 2026UniSD: Towards a Unified Self-Distillation Framework for Large Language Models7 May 2026
- 2025Stylometry recognizes human and LLM-generated texts in short samples1 Jul 2025
- 2025OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit12 May 2025
- 2024Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets12 Oct 2024
- 2024The Price of Prompting: Profiling Energy Use in Large Language Models Inference4 Jul 2024
- 2024Sparsity-Accelerated Training for Large Language Models3 Jun 2024
- 2024UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset7 Feb 2024