Document Gallery 1.0.16 direct Hugging Face import + desktop LiteRT-LM CLI (serve/run)

README.md

@@ -49,6 +49,8 @@ so no separate tokenizer files are needed.
 
 ## Run on Android
 
+> **Update (July 2026):** [Google AI Edge Gallery](https://github.com/google-ai-edge/gallery) **v1.0.16+** can import litert-lm models **directly from Hugging Face** inside the app (tap **+**) — no computer or `adb` needed. The manual steps below are only required on older builds or for sideloading a local file.
+
 The easiest way to try this model on a phone is the official
 **[Google AI Edge Gallery](https://github.com/google-ai-edge/gallery)** app:
 
@@ -67,6 +69,19 @@ See the Gallery
 guide for details. To embed it in **your own** Android app, use the LiteRT-LM Kotlin API
 (`com.google.ai.edge.litertlm:litertlm-android`).
 
+## Run on desktop (LiteRT-LM CLI)
+
+The same `.litertlm` bundle runs on macOS / Linux / Windows with the official
+[LiteRT-LM CLI](https://github.com/google-ai-edge/LiteRT-LM) — including as a
+local **OpenAI-compatible API server**:
+
+```bash
+pip install litert-lm
+litert-lm import --from-huggingface-repo mlboydaisuke/OLMo-2-1B-Instruct-LiteRT model.litertlm olmo-2-1b-instruct-litert
+litert-lm run olmo-2-1b-instruct-litert     # interactive chat in the terminal
+litert-lm serve           # local OpenAI-compatible API server
+```
+
 ## Quality — GSM8K
 
 Measured on GSM8K (n=100, greedy, 0-shot chain-of-thought, identical prompt and