Local LLM Notepad – run a GPT-style model from a USB stick
What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI flags, or download GBs of extras. I wanted something my less-technical colleagues could run during a client visit by literally plugging in a USB drive. How it works PyInstaller one-file build → bundles Python runtime, llama_cpp_python, and the UI into a single PE. On first launch, it…
Local LLM Notepad – run a GPT-style model from a USB stick launched on June 30, 2025 with 40 votes, #582 of 7,999 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Local LLM Notepad is a 45 MB Windows executable that runs GPT-style language models directly from a USB drive without requiring installation, admin rights, or internet access. It bundles Python, llama.cpp, and a minimal text interface into a single file, letting users copy it alongside any .gguf model file and run it on any Windows PC by double-clicking. The tool is designed for non-technical users who need to chat with a local LLM during client visits or offline work, achieving around 20 tokens per second on modest hardware.
written from the facts on this page · September 2026
From the sources
Local LLM Notepad is an offline plug-and-play app for running local large-language model. Drop the single bundled .exe onto a USB stick, walk up to any computer, and start chatting, brainstorming, or drafting documents. No installation, no internet, no admin rights required. - GitHub - runzhouye/Local_LLM_Notepad: Local LLM Notepad is an offline plug-and-play app for running local large-language m
Plug a USB drive and run a modern LLM on any PC locally with a double‑click. No installation, no internet, no API, no Cloud computing, no GPU, no admin rights required. Local LLM Notepad is an open-source, offline plug-and-play app for running local large-language models. Drop the single bundled .exe onto a USB stick, walk up to any computer, and start chatting, brainstorming, or drafting documents. Drop the one‑file EXE and your .gguf model onto a flash drive; run on any Windows PC without admin rights. Two‑pane layout: type prompts below, watch token‑streamed answers above—no extra chrome. Every word or number you wrote in your prompt is automatically bold‑underlined in the model’s reply.…from github.com
In the maker’s words, at launch
What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI…
Does a similar job
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Getting GLM 5.2 running on my slow computerJul 2026 · github.com · ▲937A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
Finetune LLaMA-7B on commodity GPUs using your own text2023 · github.com · ▲449I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
Llama-dl – high-speed download of LLaMA, Facebook's 65B GPT model2023 · github.com · ▲343High-speed download of LLaMA, Facebook's 65B parameter GPT model - shawwn/llama-dl
Ollama – Run LLMs on your Mac2023 · github.com · ▲284Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…
- MGmacOS GUI for running LLMs locally2023 · avapls.com · ▲58
Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…
- CICan I run this LLM? (locally)2025 · can-i-run-this-llm-blue.vercel.app · ▲42
One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.
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