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

README.md

@@ -69,6 +69,8 @@ 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 official **[Google AI Edge Gallery](https://github.com/google-ai-edge/gallery)** app runs
 `.litertlm` models on-device:
 
@@ -76,6 +78,19 @@ The official **[Google AI Edge Gallery](https://github.com/google-ai-edge/galler
 2. Download `model.litertlm` and push it: `adb push model.litertlm /sdcard/Download/`
 3. In the app tap **+**, pick the file, choose the **GPU** backend, and raise the max-tokens setting (≥2048).
 
+## 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 litert-community/Phi-4-mini-reasoning model.litertlm phi-4-mini-reasoning
+litert-lm run phi-4-mini-reasoning     # interactive chat in the terminal
+litert-lm serve           # local OpenAI-compatible API server
+```
+
 ## Run on iPhone
 
 Verified on **iPhone 17 Pro** (LiteRT-LM Swift runtime): loads and generates correct answers. This is a