Upload README.md

README.md

@@ -1,56 +1,12 @@
+
 ---
 license: other
 license_name: lfm1.0
 license_link: LICENSE
-language:
-- en
-- ar
-- zh
-- fr
-- de
-- ja
-- ko
-- es
-pipeline_tag: text-generation
 tags:
 - liquid
-- lfm2.5
+- lfm2
 - edge
-- llama.cpp
-- gguf
 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 to **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 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 LFM2.5
-
-Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):
-
-```
-llama-cli -hf LiquidAI/LFM2-2.6B-Transcript-GGUF
-```