LFM2.5-2.6B — Apple Neural Engine artifacts
Prebuilt Apple Neural Engine artifacts for LiquidAI/LFM2.5-2.6B.
The artifacts are portable Core ML packages; Core ML compiles them for the specific device on first load.
Contents
Each directory is a complete, independently runnable bundle. Pick one.
| directory | precision | graphs | largest graph | intended target |
|---|---|---|---|---|
lut8_g32_c6/ |
8-bit weight-only, fp16 compute | 7 | 411 MB | iPhone and Mac |
lut8_g32/ |
8-bit weight-only, fp16 compute | 5 | 654 MB | Mac |
| root files | fp16 | 5 | 1240 MB | Mac |
The three differ in how the model is split across graphs, not in what it computes. lut8_g32_c6
is split more finely so that no single graph is large enough to be a problem on a phone; the
coarser splits are fine on a Mac and load slightly faster there.
Each 8-bit directory carries a PRECISION.json describing exactly how it was produced.
For model behaviour, capabilities, intended use, limitations, and license, see the upstream LiquidAI/LFM2.5-2.6B model card. This repository adds no model capabilities and changes no model behaviour.
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