Reddit User Critiques LFM2.5-24-A2B Model for Severe Looping
A Reddit user shared a negative review of the LFM2.5-24-A2B model, reporting continuous looping issues despite applying a chat template fix. The user expressed strong frustration with the model's performance on agentic tasks. User feedback highlights practical reliability issues that developers face when deploying small, on-device Mixture of Experts (MoE) models for complex agentic workflows. It underscores the gap between advertised capabilities and real-world execution. The reviewer specifically mentioned that community-provided chat template fixes failed to resolve the text repetition bug. They also questioned the model's suitability for agentic frameworks like OpenClaw.
## BACKGROUND
LFM2.5-24-A2B is a 24-parameter reasoning model with only 2B active parameters, designed for fast and private on-device execution using a Mixture of Experts architecture. OpenClaw is an open-source AI agent designed to run locally on machines and execute tasks through various messaging platforms.