Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 1.0.6, updated 2026-08-31.
Store screenshots supplied by the developer.
Discover, download, and run open-source AI models directly on your device.
No cloud. No subscription. No data leaves your device.
LM Pocket brings the power of local AI models to your device.
Browse thousands of GGUF models on Hugging Face, download them over WiFi, and chat with them entirely on-device.
COMPLETELY PRIVATE
Every conversation stays on your device. No server, no API key, no account required.
Your prompts and responses never leave the device.
DISCOVER MODELS
Browse Hugging Face Hub for quantized GGUF models.
Filter by size, quantization level, and popularity.
See compatibility badges that tell you which models will run well on your device before downloading.
CHAT WITH AI
Stream token-by-token responses with full Markdown rendering.
Manage multiple conversations.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
No review analysis published for this app.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
- Exact device-based model compatibility checks - Enhanced reliability for local API and streaming - Improved model loading and server controls - Persistent request logs and stronger validation - Per-model system prompts - Streamlined settings and model-first server experience
Appworthy
lm-pocketWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.