#[6f0d9bc6](Https://Offlinenotepad.com/6f0d9bc6) #[אגי Translator](https://anythingtranslate.com/translators/אגי-translator/) #*Welcome to Local_LLM_Notepad By Runzhouye* #[Click here to view the Github by Runzhouye](https://github.com/runzhouye/Local_LLM_Notepad) Make Sure to press *CTRL+S* to save and *CTRL+D* to download an offline readable copy on your end and be sure to bookmark the page to access and read it offline so you can share with friends & family! #[Press CTRL+A to copy & paste this entire clean slate then click here to paste it into Https://app.blackbox.ai/chat/](Https://app.blackbox.ai/chat/) #**No** #*API* #*GPU* #*Internet* #*Installation* #*Admin Rights* #*Cloud Computing* #required. #*Drop the single bundled .exe onto a USB stick* You can walk up to any computer, and start chatting, brainstorming, or drafting documents. #Why you’ll love it: #*🔌 Portable:* Drop the one‑file EXE and your .gguf model onto a flash drive; run on any Windows PC without admin rights. #*🪶 Clean UI:* Two‑pane layout: type prompts below, watch token‑streamed answers above—no extra chrome. #*🔍 Source‑word under‑lining:* Every word or number you wrote in your prompt is automatically bold‑underlined in the model’s reply. #**Ctrl+left click** on them to view them in a separate window. #*Handy for fact‑checking summaries, tables, or data extractions.* #*💾 Save/Load chats:* One‑click JSON export keeps conversations with the model portable alongside the EXE. #*⚡ Llama.cpp inside* CPU‑only by default for max compatibility. #*🎹 Hot‑keys:* #**Ctrl + S** to *send* #**Ctrl + Z** to *stop* #**Ctrl + F** to *find* #**Ctrl + X** to *clear chat history* #**Ctrl + Mouse‑Wheel** *zoom, etc.* -- #*Quick Start Step #1* Download Local LLM_Notepad-portable.exe from the Releases page. #*Step # 2* Copy the EXE and a compatible GGUF model (e.g. gemma-3-1b-it-Q4_K_M.gguf) onto **your own private USB.** #Double‑click the EXE on any Windows computer. First launch caches the model into RAM; subsequent prompts stream instantly. *Need another model?* #*Use File*▸**Select Model**… and point to a *different GGUF.* *Download links:* ~45 MB, contains everything needed to run LLM on Windows computer, and fits on a 1gb USB. #[#1 Click here to Download Local_LLM_Notepad_V1.0.1.Exe Diretly to your device](https://github.com/runzhouye/Local_LLM_Notepad/releases/download/v1.0.1/Local_LLM_Notepad_v1.0.1.exe) #[#2 Click here to Download Gemma-3-1B-it-GGUF model to chat with A.I](https://huggingface.co/ggml-org/gemma-3-1b-it-GGUF/resolve/main/gemma-3-1b-it-Q4_K_M.gguf?download=true) #*(Optional)* **Building Your Own Portable EXE** #1-**Clone** $ git clone https://github.com/runzhouye/Local_LLM_Notepad.git $ cd Local_LLM_Notepad #2-**Create env & install deps** $ python -m venv .venv && ..venv\Scripts\activate $ pip install -r requirements.txt #3-**Bundle everything** $ pyinstaller --onefile --noconsole --additional-hooks-dir=. main.py #4-**Grab dist/Local_LLM_Notepad.exe (≈45 MB)** #https://huggingface.co/models?library=gguf #[A-Z-LLM-Offline](https://offlinenotepad.com/55d5e9de) #[A](https://offlinenotepad.com/0b68683a) #[B](https://offlinenotepad.com/fda0e585) #[C](https://offlinenotepad.com/54dae1da) #[D](https://offlinenotepad.com/8911f687) #[E](https://offlinenotepad.com/cc3681fd) #[F](https://offlinenotepad.com/5afdbe7f) #[G](https://offlinenotepad.com/c530eea7) #[H](https://offlinenotepad.com/2f3f8fab) #[I](https://offlinenotepad.com/e83fffea) #[J](https://offlinenotepad.com/f68dcdb6) #[K](https://offlinenotepad.com/17beb411) #[L](https://offlinenotepad.com/1728cff5) #[M](https://offlinenotepad.com/220fff52) #[N](https://offlinenotepad.com/f92799b1) #[O](https://offlinenotepad.com/78b62c6c) #[P](https://offlinenotepad.com/acd0395e) #[Q](https://offlinenotepad.com/9cfdd1f4) #[R](https://offlinenotepad.com/a5a582a6) #[S](https://offlinenotepad.com/5a0e19cf) #[T](https://offlinenotepad.com/0aa0b9b2) #[U](https://offlinenotepad.com/d5895230) #[V](https://offlinenotepad.com/7006addc) #[W](https://offlinenotepad.com/7595b4aa) #[X](https://offlinenotepad.com/2464ec2b) #[Y](https://offlinenotepad.com/b038d5a8) #[Z](https://offlinenotepad.com/1006eb01) #[0-9](https://offlinenotepad.com/e8ed8351) #*https://huggingface.co/antirez/deepseek-v4-gguf/tree/main* #*DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix.gguf* #[86.7 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix.gguf?download=true) #*DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2.gguf* #[86.7 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2.gguf?download=true) #*DeepSeek-V4-Flash-Layers37-42Q4KExperts-OtherExpertLayersIQ2XXSGateUp-Q2KDown-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-fixed.gguf* #[97.6 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-Layers37-42Q4KExperts-OtherExpertLayersIQ2XXSGateUp-Q2KDown-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-fixed.gguf?download=true) #*DeepSeek-V4-Flash-MTP-Q4K-Q8_0-F32.gguf* #[3.81 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-MTP-Q4K-Q8_0-F32.gguf?download=true) #*DeepSeek-V4-Flash-Q4KExperts-F16HC-F16Compressor-F16Indexer-Q8Attn-Q8Shared-Q8Out-chat-v2-imatrix.gguf* #[165 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-Q4KExperts-F16HC-F16Compressor-F16Indexer-Q8Attn-Q8Shared-Q8Out-chat-v2-imatrix.gguf?download=true) #*DeepSeek-V4-Flash-Q4KExperts-F16HC-F16Compressor-F16Indexer-Q8Attn-Q8Shared-Q8Out-chat-v2.gguf* #[165 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Flash-Q4KExperts-F16HC-F16Compressor-F16Indexer-Q8Attn-Q8Shared-Q8Out-chat-v2.gguf?download=true) #*DeepSeek-V4-Pro-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-Instruct-imatrix.gguf* #[465 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Pro-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-Instruct-imatrix.gguf?download=true) #*DeepSeek-V4-Pro-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-Instruct.gguf* #[465 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Pro-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-Instruct.gguf?download=true) #*DeepSeek-V4-Pro-Q4K-Layers-31-output.gguf* #[442 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Pro-Q4K-Layers-31-output.gguf?download=true) #*DeepSeek-V4-Pro-Q4K-Layers00-30.g* #[458 GB](https://huggingface.co/antirez/deepseek-v4-gguf/resolve/main/DeepSeek-V4-Pro-Q4K-Layers00-30.gguf?download=true)