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nomic-ai
gpt4all
C++2023–2025
nomic-ai / gpt4all

gpt4all

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

35Distinct people
39Mentions
1Explicit recommenders
77.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

My one take away after playing with both chat mode and text completion modes is that gpt4all 7B 4bit stays on the chat rails (doesn't start taking the role of the user, or…

superkuh used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month39 dated mentions

Observed mentions: 2023-03-28 23:18:39 UTC to 2025-07-15 19:51:24 UTC.

0510152023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 7 mentions; 2 submissions, 5 commentsMar 20232023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 13 mentions; 0 submissions, 13 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20242024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC725
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC13013
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC202
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC101
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC303
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC211
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC101
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC101
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC303
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC101
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC000
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC312
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC101

What Hacker News says

39 sources
From the moment Llama 3.1 was released, GPT4All developers have been working hard to make a beta version of tool calling available. We're happy to announce that the beta is now ready. The first tool is web search implemented through brave.com just as in the Llama 3.1 paper. A wiki has been made to walk users through the setup here: https://github.com/nomic-ai/gpt4all/wiki/Web-Search-Beta-Rel... Join us on discord to give feedback and get help with the new Llama 3.1 Beta for GPT4All: https://discord.com/invite/4M2QFmTt2k
In Llama 3.1 web search integrated into GPT4All Beta
Thanks for taking the time to respond. I was thinking of something local, especially in light of: Google's Gemini AI caught scanning Google Drive PDF files without permission https://news.ycombinator.com/item?id=40965892 . Looks like GPT4All[1] and AnythingLLM[2] are worth exploring. There's also the closed-source macOS app RecurseChat[3,4] which appeared on HN a few months ago[5]. [1] https://github.com/nomic-ai/gpt4all [2] https://github.com/Mintplex-Labs/anything-llm [3] https://recurse.chat [4] https://recurse.chat/blog/posts/local-docs [5] https://news.ycombinator.com/item?id=39532367
In Show HN: Site2pdf
In Show HN: I made an app to use local AI as daily driver
I run one. I built an iMessage-like frontend to it using plain JS and a Python websocket backend. I use it mostly for curiosity and playing with different prompts. I only have 16GB of RAM to dedicate to it, so I use an 13B parameter model which is enough for fun and chitchat, but I don't find it good enough to replace ChatGPT. In the future I would like to upgrade to Llama2 and observe the difference. https://github.com/nomic-ai/gpt4all
In Ask HN: Are you using a local LLM? If yes, what’s the use case?
Agreed. Gpt4all[1] offers a similar 'simple setup' but with application exe downloads, but is arguably more like open core because the gpt4all makers (nomic?) want to sell you the vector database addon stuff on top. [1]https://github.com/nomic-ai/gpt4all I like this one because it feels more private / is not being pushed by a company that can do a rug pull. This can still do a rug pull, but it would be harder to do.
In Show HN: LlamaGPT – Self-hosted, offline, private AI chatbot, powered by Llama 2

Ask HN: Are you training and running custom LLMs and how are you doing it?

I have been researching methods and projects built around training and running LLMs locally. I'm interested in what others have been using on this front (including straight up Pytorch/Transformers). Here's what I've gathered so far: Engines/APIs: - vllm: Inference and serving engine for LLMs (none quantized models only?) [1] - ollama: Go project to run, create and share LLMs [2] - llama.cpp: Inference of LLaMA models in C/C++ w/UI (including quantized models) [3] - llama-cpp-python: run OpenAI compatible API bindings for llama.cpp [4] - llm-engine: engine for fine-tuning and serving LLMs [5] - Lamini: hosted? closed source? solution for training LLMs [6] - GPT4All: free, locally run chatbot [7] - SkyPilot: framework for running LLMs, AI, and batch jobs [8] - HuggingFace Transformers: APIs and tools to download and train
Read the rest
models (via Pytorch) [9] - RAGStack: Deploy a private ChatGPT alternative hosted within your VPC [14] UI/Interface: - Simon's `llm` tool [15] Quantization Bits: - AutoGPTQ: GPTQ algorithm based quantization package [10] - QLoRA: finetuning of quantized LLMs [11] - bitsandbytes: CUDA functions for PyTorch [12] - SkyPilot QLoRA [13] Video Guides: - https://www.youtube.com/watch?v=eeM6V5aPjhk - https://www.youtube.com/watch?v=TYgtG2Th6fI (jawerty's example) Reference: - [1] https://github.com/vllm-project/vllm - [2] https://github.com/jmorganca/ollama - [3] https://github.com/ggerganov/llama.cpp - [4] https://github.com/abetlen/llama-cpp-python - [5] https://github.com/scaleapi/llm-engine - [6] https://www.lamini.ai/ - [7] https://github.com/nomic-ai/gpt4all - [8] https://github.com/skypilot-org/skypilot - [9] https://github.com/huggingface/transformers/releases - [10] https://github.com/PanQiWei/AutoGPTQ - [11] https://github.com/artidoro/qlora - [12] https://github.com/TimDettmers/bitsandbytes - [13] https://github.com/artidoro/qlora/pull/132 - [14] https://github.com/psychic-api/rag-stack - [15] https://simonwillison.net/2023/Aug/1/llama-2-mac/
15 points · Open discussion
Are you about to use GPT4ALL[^1] or anything else? If you're going with the second option, then please share any link to such resources... I'd be interested. And, to share with you something: I saw somewhere a tool (maybe it was GPT4ALL itself) that had the ability to expose a OpenAI-compatible local API on localhost:8080... Ah, yes. Here it is. Actually, there are two. They are described as possible backends for Bavarder (that's a free access to multiple online models, API key is not required): https://bavarder.codeberg.page/help/local/ [^1]: https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-backen...
In Show HN: Danswer – Open-source question answering across all your docs

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