初始化项目，由ModelHub XC社区提供模型

Model: IrieDinamik/LiquidAI-LFM2-1.2B-Tool-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,55 @@
+---
+library_name: transformers
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+- ar
+- zh
+- fr
+- de
+- ja
+- ko
+- es
+pipeline_tag: text-generation
+tags:
+- liquid
+- lfm2
+- edge
+base_model: LiquidAI/LFM2-1.2B-Tool
+---
+
+<center>
+<div style="text-align: center;">
+  <img 
+    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" 
+    alt="Liquid AI"
+    style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
+  />
+</div>
+<div style="display: flex; justify-content: center; gap: 0.5em;">
+  <a href="https://playground.liquid.ai/chat">
+<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a></a>
+</div>
+</center>
+
+# LFM2-1.2B-Tool-GGUF
+
+Based on [LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B), LFM2-1.2B-Tool is designed for **concise and precise tool calling**. The key challenge was designing a non-thinking model that outperforms similarly sized thinking models for tool use.
+
+**Use cases**:
+
+- Mobile and edge devices requiring instant API calls, database queries, or system integrations without cloud dependency.
+- Real-time assistants in cars, IoT devices, or customer support, where response latency is critical.
+- Resource-constrained environments like embedded systems or battery-powered devices needing efficient tool execution.
+
+You can find more information about other task-specific models in this [blog post](https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices).
+
+## 🏃 How to run LFM2
+
+Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):
+
+```
+llama-cli -hf LiquidAI/LFM2-1.2B-Tool-GGUF
+```