AI正在发生 未来正在更新LFM2.5-2.6B
LFM2.5-2.6B is part of LFM2.5, a family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with a 128K context window and agentic post-training. - **Best-in-class agent**: Competitive with models 4x larger on tool use, instruction following, and multi-step agentic tasks. - **Agentic reinforcement learning**: Trained inside the most popular agentic harnesses to improve compatibility. - **Efficient inference**: 220 tok/s on an Apple M5 Max and 113 tok/s on an AMD Ryzen CPU, in under 2.5 GB of memory. Find more information about LFM2.5-2.6B in our blog post.
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LFM2.5-2.6B is part of LFM2.5, a family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with a 128K context window and agentic post-training. - **Best-in-class agent**: Competitive with models 4x larger on tool use, instruction following, and multi-step agentic tasks. - **Agentic reinforcement learning**: Trained inside the most popular agentic harnesses to improve compatibility. - **Efficient inference**: 220 tok/s on an Apple M5 Max and 113 tok/s on an AMD Ryzen CPU, in under 2.5 GB of memory. Find more information about LFM2.5-2.6B in our blog post.