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.
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