LFM2.5-VL-3B
AssessPlatforms
A 3.1B-parameter vision-language model for on-device and edge deployment.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 34%.
Evidence (2)
- 7Hugging Face Blog·9/24/2026model_releaseLiquidAI releases DSpark draft model for LFM2.5-VL-3B
LiquidAI released an experimental DSpark drafter for its vision-language model LFM2.5-VL-3B, adding speculative decoding to speed up inference without changing output quality. The company reports decode speedups of up to 3.13x on-device and 2.66x on H100, with end-to-end gains up to 2.62x and 2.27x, and day-one support in llama.cpp, MLX-VLM, and SGLang.
- 7Hugging Face Blog·8/12/2026model_releaseLiquidAI releases LFM2.5-VL-3B for faster edge vision
LiquidAI introduced LFM2.5-VL-3B, a vision-language model designed to run on local hardware with fast, direct responses for real-time and on-device applications. The model improves screen and document understanding, grounding, multi-image reasoning, and function calling, and is presented with benchmark results showing strong performance in its size class.