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LFM2.5-24B-A2B 及其基础版现已在 Hugging Face 提供开放权重，可用于在设备上运行会推理和调用工具的智能体。相较前代，其上下文窗口从 32K 扩至 131K tokens；发布方的测试显示，它在 LiveClaw 上得分 48.09，但在部分知识和编程评测中落后于更大的模型。
Coverage of the same occurrence shares a node; subsequent developments have their own nodes.
Open weights for LFM2.5-24B-A2B and its base version are now available on Hugging Face for agents that reason and call tools on-device. Its context window grows from 32K to 131K tokens over its predecessor. In the publisher's tests, it scored 48.09 on LiveClaw, while larger models retained an edge on some knowledge and coding benchmarks.
By original publication time, with each report's bookmarks and feedback preserved.
The open-weight model targets multi-step tool use, with base and post-trained weights available on Hugging Face. It has a 131,072-token context window. In Liquid AI’s tests, it scored 27.69 on AutomationBench but trailed a comparison model on SWE-Bench Verified, 51.00 to 66.20.
Open weights for LFM2.5-24B-A2B and its base version are now available on Hugging Face for agents that reason and call tools on-device. Its context window grows from 32K to 131K tokens over its predecessor. In the publisher's tests, it scored 48.09 on LiveClaw, while larger models retained an edge on some knowledge and coding benchmarks.