Liquid AI's Local Meeting Summarizer: LFM2-2.6B
Liquid AI's Local Meeting Summarizer uses the LFM2-2.6B model to generate concise, privacy-focused meeting summaries directly on local devices without cloud
Someone found that Liquid AI just released a meeting summarization model that actually runs locally without needing cloud APIs.
LFM2-2.6B-Transcript is pretty interesting because it handles hour-long meetings in about 16 seconds while using under 3GB of RAM. The quality apparently matches cloud models that are way bigger.
Works across AMD Ryzen AI platforms (CPU, GPU, and NPU). All the data stays on-device, so no compliance headaches from sending transcripts to third-party services.
Get it here:
- Base model: https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript
- Quantized versions: https://huggingface.co/models?other=base_model:quantized:LiquidAI/LFM2-2.6B-Transcript
The GGUF versions make it easy to run locally with tools like Ollama or llama.cpp. Nice option for anyone dealing with sensitive meeting notes who’d rather not upload everything to ChatGPT or Claude.
Related Tips
Claude Opus 4.6 vs GPT-5.2-Pro Benchmark Results
Claude Opus 4.6 and GPT-5.2-Pro are compared across multiple benchmark tests to evaluate their performance in reasoning, coding, and language tasks.
MineBench: 3D Spatial AI Benchmark Reveals Surprises
MineBench introduces a new 3D spatial reasoning benchmark for AI models using Minecraft environments, revealing unexpected performance gaps and challenging
Free Tool Tests Qwen's Voice Cloning (No GPU Needed)
This article explores a free tool that tests Qwen's voice cloning technology without requiring GPU hardware, making advanced AI voice synthesis accessible to