MODELS
by Liquid AI
Liquid AI compact MoE reasoning model for on-device tool calling, function calling, instruction following, and agentic tasks.
LFM2.5-8B-A1B is a Liquid AI text-only reasoning-tuned Mixture-of-Experts model. Official Liquid docs identify it as an 8B model with 1.5B active parameters and a 128K context for on-device tool calling and agentic tasks. The Hugging Face model card lists 8.3B total parameters, tool use, multilingual support, and inference support through Transformers, vLLM, SGLang, llama.cpp, ONNX, MLX, and GGUF variants. Liquid’s launch blog describes it as an edge model for fast, reliable tool calling on consumer hardware, with 38T-token pretraining and reinforcement learning.
Use when evaluating a compact Liquid AI MoE reasoning model for on-device or edge-oriented agentic tasks. Use when a workflow needs tool calling or function calling with JSON tool definitions and tool-role results. Use when a text-only model with 128K context and multilingual support is required. Use when deployment targets include runtimes such as Transformers vLLM SGLang llama.cpp ONNX MLX or GGUF variants.
Last updated Jul 1, 2026
