Model Detail
AREX-Turbo
—AREX-Turbo is a large language model with 4B parameters released by BAAI. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
AREX-Turbo ships with 4B parameters. Total weight footprint is approximately 4.5 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
AREX-Turbo is best fit for general-purpose chat and instruction-following workloads. 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.
AREX: Affine-Residual Exponential Integrator for Few-Step Sampling in Flow Matching
arXiv:2610.03483v1 Announce Type: cross Abstract: We introduce AREX, a training-free sampler for pretrained flow matching models that uses the target mean and covariance to capture an analytically tractable part of the sampling dynamics. We show that the velocity field of the moment-matched Gaussian
AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
arXiv:2609.38288v1 Announce Type: new Abstract: We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This ability rests on two complementary capabilities: reflection, which produces a soluti
AREX: Towards a Recursively Self-Improving Agent for Deep Research
arXiv:2607.21461v3 Announce Type: replace Abstract: Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery--verification a
