初始化项目，由ModelHub XC社区提供模型

Model: LiquidAI/LFM2-2.6B-Transcript-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+library_name: transformers
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- liquid
+- lfm2
+- edge
+base_model: LiquidAI/LFM2-2.6B-Transcript
+---
+
+<div 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 style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">
+    <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>
+  </div>
+</div>
+
+# LFM2-2.6B-Transcript-GGUF
+
+Based on [LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B), LFM2-2.6B-Transcript is designed for **private, on-device meeting summarization**. We partnered with AMD to deliver cloud-level summary quality while running entirely locally, ensuring your meeting data never leaves your device.
+
+**Highlights**:
+- Cloud-level summary quality, approaching much larger models
+- Under 3GB of RAM usage for long meetings
+- Fast summaries in seconds, not minutes
+- Runs fully locally across CPU, GPU, and NPU
+
+You can find more information about this model [here](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript).
+
+## 🏃 How to run
+
+Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):
+
+```
+llama-cli -hf LiquidAI/LFM2-2.6B-Transcript-GGUF
+```
+
+## 📬 Contact
+
+If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).