LFM2.5-1.2B-Instruct is a 1.2 billion parameter language model from LiquidAI, optimized for instruction following and conversational tasks. It includes a chat template and supports tool use. The model is distributed on Hugging Face and can be run locally or via inference providers using the Transformers library. It is suitable for on-device or resource-constrained applications requiring capable language understanding.
LFM2.5 1.2B Instruct sits in PulseGate's Text generation category. It focuses on running a small, efficient language model locally for text generation and instruction following. It is built as an open-source project for developers and AI researchers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind LFM2.5 1.2B Instruct is LiquidAI, and it first shipped in 2018. Development happens publicly on GitHub with 162.7k stars and 758 commits in the last 90 days. Among its 3 catalogued features are Instruction Tuning, Chat Template, and Tool Use Support. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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