Local LLM Playground
Local LLM Playground is made and published by Shigeru Hasunuma. AppBrain is an independent app data site and isn't affiliated with Shigeru Hasunuma. The app name, icon, screenshots and description belong to Shigeru Hasunuma and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- June 15, 2026
- Size
- 817.5 MB
User feedback
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Store listing
By Shigeru Hasunuma, from the App Store
Description by Shigeru Hasunuma Written by the developer, not by AppBrain. Click to read.
The app supports both GGUF and MLX language models, and now also supports Apple Foundation Models. From entering prompts to viewing inference results, you can easily experiment with on-device AI entirely on your device.
The following AI models are bundled with the app, so you can start using local AI immediately after installation:
* Qwen2.5-0.5B-Instruct-Q4_K_M (GGUF)
* Qwen3-0.6B-MLX-4bit (MLX)
No cloud connection or API key is required. All AI processing is performed locally on your device, and your prompts and personal data are never transmitted to external servers.
In addition to prompt experimentation and model evaluation, the app provides detailed inference metrics, including:
* Token generation speed (tokens/sec)
* Inference time (prefill / decode)
* Token usage statistics
* Memory usage
* Context length (n_ctx)
You can also import your own GGUF and MLX models to experiment with a wide variety of local AI models.
Key Features:
* Load GGUF language models
* Load MLX language models
* Support for Apple Foundation Models
* Run AI inference from custom prompts
* Display token generation speed
* Visualize inference timing
* Monitor memory usage
* Configure context size
* Advanced inference parameter settings
* Import GGUF models
* Import MLX models
Highlights:
* Fully on-device AI
* Supports GGUF, MLX, and Apple Foundation Models
* No cloud services required
* No API keys required
* Privacy-focused by design
* Ideal for experimenting with and learning about local AI
Recommended For
* Anyone interested in local LLMs
* Developers exploring MLX models
* Users who want to experience Apple Foundation Models
* AI enthusiasts evaluating model behavior
* Prompt engineering and experimentation
* Comparing the performance of lightweight language models
Important Notice:
AI-generated responses may contain inaccuracies or incorrect information. Please independently verify any important information before relying on it.
Safety and technology
Found in the app by AppBrain- Price
- $10.00
- App size
- 817.5 MB
- Content rating
- Everyone
Technologies used by Local LLM Playground
Releases
Updates seen on the App Store- Version
- 2.0(1)
- Launched
- March 2026
No changelog data
Rankings
App Store top chartsApp Store Rankings for Local LLM Playground
About the app and developer
About Local LLM Playground
Local LLM Playground is an overall app developed by Shigeru Hasunuma.
User Ratings
The app has no ratings yet.
App Information
Local LLM Playground costs $10.00. The app size is 817.50 MB. The latest version available is 2.0(1). The last update was on June 15, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since March 2026.
Developer information for Shigeru Hasunuma
Address:
Frequently asked questions about Local LLM Playground
Is Local LLM Playground free?
No. Local LLM Playground costs $10.00 on the App Store.
Is Local LLM Playground still available?
Yes. Local LLM Playground is on the App Store, and the last update we saw was on June 15, 2026.
How large is Local LLM Playground?
Local LLM Playground is 817.50 MB.
Is Local LLM Playground suitable for children?
App Store rates the content of Local LLM Playground as suitable for everyone.
Who made Local LLM Playground?
Local LLM Playground was developed by Shigeru Hasunuma. It is listed in the overall category on the App Store.