loom-ai-org/lfm2-350m-modular-loom

LFM2-350M (modular export)

Liquid AI's LFM2-350M hybrid conv/attention LM, exported as per-layer topologies.

This is a loom.cpp export: a single self-describing GGUF that carries its own graph topologies, tokenizer (if any) and driver script, produced by loom-exporter.

Original model

Exported from LiquidAI/LFM2-350M. Weights are unmodified; this repo packages the same parameters into loom.cpp's GGUF format.

License

LFM Open License v1.0 -- inherited from the base model above.

Language(s)

en, ar, zh, fr, de, ja, ko, es

Usage

Run it with loom-py -- loom-py-rt on PyPI:

pip install loom-py-rt[hub]

import loom

model = loom.Model.from_pretrained("loom-ai-org/lfm2-350m-modular-loom")
print(model.generate("The capital of France is", max_new_tokens=14))

model.driver_source prints the exact driver script this GGUF embeds, including a header comment documenting every argument model.infer()/model.generate() accepts for this model.

Files

• lfm2-350m-modular.gguf -- the model, exported with loom-exporter.