Liquid AI releases open-weight multimodal LFM3 models around 2B
LFM3-1.7B-Base was pre-trained on 22T tokens, with a 256K context after mid-training.
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LFM3-1.7B-Base was pre-trained on 22T tokens, with a 256K context after mid-training.
The repo adds a QAD Q4_0 file meant to recover accuracy lost to Q4_0 quantization.
The post-trained text model uses a 256K context, about 1 GB at 4-bit, and the LFM Open License v1.0.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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