Find the right model
Search Hugging Face from the app, inspect exact file sizes and quantizations, then download with live progress and recovery.
Private AI, running where you are
Full-power local AI.
Your CPU & GPU.
Put your hardware to work. Run GGUF models through CPU, NVIDIA CUDA, or Vulkan, with direct control over context, threads, acceleration, sampling, and storage.
Choose your platform ↓Free desktop app · v0.1.5
local idea / local runtime
L
ACTIVE MODELQwen 2.5 Coder 3BQ5_K_M · 2.27 GB
LOCAL SESSION
Explain this function and suggest a safer implementation.
Processing entirely on your device…
A local AI desk,
without the guesswork.
One focused place to collect models, tune inference, and keep conversations close.
Control the runtime
Choose CPU, NVIDIA CUDA, or cross-vendor Vulkan, plus context, threads, temperature, and sampling. Local Idea Studio adapts limits to the model you load.
Keep it local
Chats, preferences, and GGUF files remain on your computer. Pick the drive and folder where models live.
02 / PRIVATE BY DEFAULTThe cloud is optional.
The cloud is optional.
Your machine is not.
Local inferenceYour prompts are processed by the llama.cpp runtime on your CPU or GPU.
Portable GGUFUse compatible model files you already own or download new ones.
Visible controlsNo mystery presets: runtime, storage, and generation controls are yours.
Useful before
and after install.
Practical documentation written for people running GGUF models—not filler made for search engines.
01
Installation guide
Verify the installer, finish setup, choose a model folder, and run your first model.
02GGUF beginner guide
Understand quantization, file size, memory, context, and how to choose a model.
03Supported models
Learn what compatibility means and which GGUF files are most likely to work.
04Troubleshooting
Fix model loading, GPU detection, Windows warnings, and download problems.
05Benchmark method
See how we will publish reproducible CPU, CUDA, and Vulkan results without fake claims.
04 / DOWNLOAD
Built for your platform.
Local Idea Studio for Windows is available now as a free early-access release. macOS and Linux builds are coming later.
Windows
Windows 10/11 · x64 · 350 MB
Public GitHub release · unsignedmacOS
Apple Silicon & Intel
Linux
AppImage · x64
Model formatGGUF
Suggested memory8 GB+
GPU accelerationCUDA / Vulkan
AccountNot required
Trust is something
you can check.
The Windows build is published with source history, release notes, and a SHA-256 checksum. The installer is currently unsigned, so verify it before running.
Does Local Idea Studio include an AI model?
No. Add a GGUF file you already have or search and download one from Hugging Face inside the app.
Does it use NVIDIA CUDA?
Yes. Auto mode prefers CUDA when a supported NVIDIA RTX or GTX GPU is detected, then falls back to Vulkan or CPU. GPU layers set to “all” offload as much of the model as available VRAM permits.
Where are downloaded models stored?
New Windows installations use your Documents\Local Idea Studio\models folder by default. Existing users retain their selected storage folder. A D: drive is never required, and you can choose another available folder in Settings.
Will every GGUF model run?
Local Idea Studio supports llama.cpp-compatible GGUF models. A model still needs to fit your available RAM or VRAM, and some architectures may require a newer runtime.
Why might Windows show a security warning?
This early-access installer is not code-signed yet, so Windows may show a Microsoft Defender SmartScreen warning. Only download Local Idea Studio from this official site or its public GitHub release.