Model Detail
LFM2.5-VL-1.6B-Extract
—LFM2.5-VL-1.6B-Extract is a multimodal model with 1.6B parameters released by LiquidAI. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
LFM2.5-VL-1.6B-Extract ships with 1.6B parameters. Total weight footprint is approximately 1.6 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
LFM2.5-VL-1.6B-Extract is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective signals as model performance improves, and sparse rewa
