LFM2.5-1.2B is a compact 1.2 billion parameter instruct model from LiquidAI, distributed in GGUF format for easy use with llama.cpp and other local inference engines. It is designed for efficient on-device or CPU-based text generation and instruction following. The model balances performance and resource usage for local deployment scenarios.
LFM2.5 1.2B Instruct sits in PulseGate's Foundation models & chat category. It focuses on providing capable local language model inference with very low compute requirements. It is built as an open-source project for developers. The project is open source (MIT). It ships for the command line.
LiquidAI builds and maintains LFM2.5 1.2B Instruct, and it first shipped in 2023. The project is developed in the open on GitHub with 121k stars and 1.2k commits in the last 90 days. Among its 3 catalogued features are instruct tuning, GGUF format, and local inference.
Summary written by a language model from the project’s public pages.
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