Update README.md

README.md

@@ -1,3 +1,76 @@
 ---
 license: apache-2.0
+language:
+  - en
+  - zh
+base_model:
+  - openbmb/MiniCPM5-1B
+pipeline_tag: text-generation
+library_name: litert
+tags:
+  - minicpm
+  - minicpm5
+  - litert
+  - 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.
+
+---
+
+## 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.
+
+### Highlights
+
+- 🏆 **1B-class open-source SOTA** — strongest in tool use, code generation, and difficult reasoning among comparable open models.
+- 🧠 **Hybrid Reasoning** — a single checkpoint serves as both a fast assistant and a deliberate reasoner via a built-in `<think>` template (`enable_thinking`).
+- 📏 **Long context** — native **131,072**-token context length.
+- 📱 **Built for the edge** — compact footprint designed for local assistants, coding agents, and tool-use workflows.
+
+### Model Information
+
+| Item | Value |
+| --- | --- |
+| Type | Causal Language Model |
+| Architecture | Standard `LlamaForCausalLM` |
+| Parameters | 1,080,632,832 (~1B) |
+| Non-Embedding Parameters | 679,552,512 |
+| Layers | 24 |
+| Attention Heads (GQA) | 16 (Q) / 2 (KV) |
+| Context Length | 131,072 |
+
+---
+
+## Links
+
+- 🤗 Original model (BF16): [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B)
+- 📦 GitHub: [OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM)
+- 🛠️ LiteRT docs: [ai.google.dev/edge/litert](https://ai.google.dev/edge/litert)
+
+---
+
+## License
+
+Released under the **Apache-2.0 License**, consistent with the upstream [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B).
+
+## Citation
+
+```bibtex
+@article{minicpm4,
+  title={MiniCPM4: Ultra-efficient LLMs on end devices},
+  author={MiniCPM, Team},
+  journal={arXiv preprint arXiv:2506.07900},
+  year={2025}
+}
+```
+