Repository: localaiLicense: other

LFM2.5-2.6B is LiquidAI's compact, text-only reasoning model for on-device agentic workloads. It has 2.69B parameters, a 128K-token context window, multilingual support, and post-training for tool use, instruction following, data extraction, RAG, and multi-step agents. This entry uses the recommended Q4_K_M GGUF quantization from LiquidAI's official repository.
Links
Tags
Repository: localaiLicense: other

LFM2.5-2.6B is LiquidAI's compact, text-only reasoning model for on-device agentic workloads. It has 2.69B parameters, a 128K-token context window, multilingual support, and post-training for tool use, instruction following, data extraction, RAG, and multi-step agents. This entry uses the higher-quality Q8_0 GGUF quantization from LiquidAI's official repository.
Links
Tags
Repository: localai
This is a large language model (2.6B parameters) designed for text-generation tasks. It is a quantized version of the original model `LiquidAI/LFM2-2.6B-Transcript`, optimized for efficiency while retaining strong performance. The model is built on the foundation of the base model, with additional optimizations for deployment and use cases like transcription or language modeling. It is trained on large-scale text data and supports multiple languages.
Links
Tags