Reported News
Liquid AI releases LFM3, six open-weight 2B-class models for on-device text, vision and audio
Liquid AI released LFM3 on October 27, 2026: six open-weight models of about 2B parameters branched from one LFM3-1.7B-Base backbone pre-trained on 22T tokens. Liquid AI says it found "LFM3-1.7B to outperform our previous LFM2.5-2.6B while using 35% fewer parameters".
- Changes reported
- 4
- listed below, each from a source we read
- We tested
- 0
- we did not run it ourselves
- Gaps we flag
- 2
- things we could not verify
- Sources
- 3
- 3 primary, linked below
What changed
| # | What the source says | Status |
|---|---|---|
| 01 | The family covers text (LFM3-1.7B), vision (LFM3-VL-2B), audio (LFM3-Audio-2B) and omni (LFM3-Omni-2B), plus two decision models specialized from the vision and omni models. | Reported |
| 02 | All six branch from LFM3-1.7B-Base, pre-trained on 22T tokens on a new hybrid architecture. | Reported |
| 03 | The text model has a 256K-token context window and fits in about 1 GB at 4-bit precision. | Reported |
| 04 | Weights are on Hugging Face under the LFM Open License v1.0, with GGUF, MLX, ONNX, FP8 and NVFP4 builds. | Reported |
reported by the sourcemeasured or run by usnot verified
Primary source: Liquid AI blog: LFM3. We are the fast, independent index; the vendor’s own page is the source of record for this release.
In the source’s words
“Built for the edge: the text model fits in about 1 GB at 4-bit precision.”
“LFM3-1.7B to outperform our previous LFM2.5-2.6B while using 35% fewer parameters”
What we have not verified
- Performance comparisons are Liquid AI's own; we did not benchmark LFM3.
- We did not run the models on a laptop or phone.
This brief is Reported: written from the sources below, not from running the release ourselves.
Sources
- Liquid AI blog: LFM3primary source · fetched 2026-10-31
- Hugging Face blog: LFM3primary source · fetched 2026-10-31
- Hugging Face model card: LFM3-1.7Bprimary source · fetched 2026-10-31
Related
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