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LFM2.5-2.6B-Base

LFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning. LFM2.5-2.6B-Base is the pre-trained text-only checkpoint, used to create all the LFM2.5-2.6B variants. It has the following features: This pre-trained checkpoint is only recommended for tasks that require heavy fine-tuning, like language-specific (e.g., Japanese) or domain-specific (e.g., medical) assistants, training on proprietary data, or experimenting with novel post-training approaches.

LFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning. LFM2.5-2.6B-Base is the pre-trained text-only checkpoint, used to create all the LFM2.5-2.6B variants. It has the following features: This pre-trained checkpoint is only recommended for tasks that require heavy fine-tuning, like language-specific (e.g., Japanese) or domain-specific (e.g., medical) assistants, training on proprietary data, or experimenting with novel post-training approaches.

Sources

huggingface.co ↗