Add GPU-optimized LiteRT model and update README

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.litertlm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -14,18 +14,18 @@ tags:
   - tflite
   - on-device
   - edge-ai
-  - upcoming
 ---
 
 # MiniCPM5-1B (LiteRT)
 
-> ⏳ **Upcoming** — The LiteRT (`.tflite`) build of MiniCPM5-1B is on the way.
-> Model weights are not available in this repository **yet**. Please **follow** this repo to be notified when they land.
-
-This repository will host the [**LiteRT**](https://ai.google.dev/edge/litert) (formerly TensorFlow Lite) version of **MiniCPM5-1B**, optimized for fully on-device inference on mobile and edge hardware.
+This repository hosts the [**LiteRT**](https://ai.google.dev/edge/litert) (formerly TensorFlow Lite) version of **MiniCPM5-1B**, optimized for fully on-device inference on mobile and edge hardware.
 
 ---
 
+## Available Models
+
+* **`minicpm_dynamic_wi8_afp32_gpu_opt.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32), heavily optimized for GPU execution.
+
 ## What is MiniCPM?
 
 **MiniCPM5-1B** is the first model in the **MiniCPM5** series from [OpenBMB](https://huggingface.co/openbmb). It is a dense **1B-parameter** Transformer built specifically for **on-device, local, and resource-constrained deployment**, while reaching **1B-class open-source SOTA** in its size class.
@@ -51,6 +51,26 @@ This repository will host the [**LiteRT**](https://ai.google.dev/edge/litert) (f
 
 ---
 
+## Use the model
+
+### Android
+
+#### Edge Gallery App
+* Download or build the [app](https://github.com/google-ai-edge/gallery?tab=readme-ov-file#-get-started-in-minutes) from GitHub.
+* Install the [app](https://play.google.com/store/apps/details?id=com.google.ai.edge.gallery&pli=1) from Google Play.
+* Follow the instructions in the app.
+
+To build the demo app from source, please follow the [instructions](https://github.com/google-ai-edge/gallery/blob/main/README.md) from the GitHub repository.
+
+### Try It (Desktop/CLI)
+
+Install `uv` and run the model directly from the command line:
+
+```bash
+uv tool install litert-lm
+uvx litert-lm run --from-huggingface-repo=litert-community/MiniCPM5-1B minicpm_dynamic_wi8_afp32_gpu_opt.litertlm --prompt="What is the capital of France?"
+```
+
 ## Links
 
 - 🤗 Original model (BF16): [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B)

minicpm_dynamic_wi8_afp32_gpu_opt.litertlm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca61f7ccf2d34619f16f68155367e42ba5f38b29cd4c0e89b5548d35461308c4
+size 1098475296