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LFM2.5 2.6B in the catalog, the /model picker, and --model - a general-purpose 2.69B
instruct planner in four precisions: LiquidAI/LFM2.5-2.6B-MLX/mxfp4 (~1.6 GB), /mxfp8
(~2.8 GB), /8bit (~2.9 GB) and /bf16 (~5.4 GB). It runs at its full 128k context window and
the card's repetition_penalty 1.1. It reasons before answering, and that reasoning is surfaced
on Ripple's separate reasoning channel rather than mixed into the reply. No new DeepAgent preset -
select it with --model <id> or the /model Local tab.
Model ids can now name a precision subfolder. LiquidAI publishes all four 2.6B precisions in
one repo, so those ids carry a third component (LiquidAI/LFM2.5-2.6B-MLX/mxfp4). Each precision
pulls, lists, and removes independently; ripple model pull on the bare repo is rejected, since
it names eight precisions rather than a model.
Changed
ripple model pull <precision> downloads only that precision (previously the glob would have
matched every precision in a shared repo), and ripple model rm <precision> removes only that
one - reclaiming its disk space while leaving any sibling precisions installed and loadable.