Create README.md

README.md

@@ -0,0 +1,55 @@
+---
+base_model:
+- LiquidAI/LFM2-1.2B
+---
+
+# LFM2-1.2B
+Run **LFM2-1.2B** on Qualcomm NPU with [NexaSDK](https://sdk.nexa.ai).
+
+## Quickstart
+
+1. **Install NexaSDK** and create a free account at [sdk.nexa.ai](https://sdk.nexa.ai)
+2. **Activate your device** with your access token:
+
+   ```bash
+   nexa config set license '<access_token>'
+   ```
+3. Run the model locally in one line:
+
+   ```bash
+   nexa infer NexaAI/LFM2-1.2B-npu
+   ```
+
+## Model Description  
+**LFM2-1.2B** is part of Liquid AI’s second-generation **LFM2** family, designed specifically for **on-device and edge AI deployment**.  
+With **1.2 billion parameters**, it strikes a balance between compact size, strong reasoning, and efficient compute utilization—ideal for running on CPUs, GPUs, or NPUs.
+
+LFM2 introduces a **hybrid Liquid architecture** with **multiplicative gates and short convolutions**, enabling faster convergence and improved contextual reasoning.  
+It demonstrates up to **3× faster training** and **2× faster inference** on CPU compared to Qwen3, while maintaining superior accuracy across multilingual and instruction-following benchmarks.
+
+## Features  
+- ⚡ **Speed & Efficiency** – 2× faster inference and prefill].  
+- 🧠 **Hybrid Liquid Architecture** – Combines multiplicative gating with convolutional layers for better reasoning and token reuse.  
+- 🌍 **Multilingual Competence** – Supports diverse languages for global use cases.  
+- 🛠 **Flexible Deployment** – Runs efficiently on CPU, GPU, and NPU hardware.  
+- 📈 **Benchmark Performance** – Outperforms similarly-sized models in math, knowledge, and reasoning tasks.
+
+## Use Cases  
+- Edge AI assistants and voice agents  
+- Offline reasoning and summarization on mobile or automotive devices  
+- Local code and text generation tools  
+- Lightweight multimodal or RAG pipelines  
+- Domain-specific fine-tuning for vertical applications (e.g., finance, robotics)
+
+## Inputs and Outputs  
+**Input**  
+- Text prompts or structured instructions (tokenized sequences for API use).  
+
+**Output**  
+- Natural-language or structured text generations.  
+- Optionally: logits or embeddings for advanced downstream integration.
+
+## License  
+This model is released under the **Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0)** license.  
+Non-commercial use, modification, and redistribution are permitted with attribution.  
+For commercial licensing, please contact **[email protected]**.