Model Detail
anon-1b
—anon-1b is a large language model with 1B parameters released by scratchyone. The model is registered under the text-generation pipeline tag on Hugging Face, released under the gemma license.
anon-1b ships with 1B parameters. Distribution is governed by the gemma license — review the exact terms before commercial deployment.
anon-1b 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.
Anon: Extrapolating Adaptivity Beyond SGD and Adam
arXiv:2605.02317v3 Announce Type: replace Abstract: Adaptive optimizers such as Adam and non-adaptive methods like SGD exhibit distinct generalization capabilities across different architectures. Prior tunable optimizers attempt to bridge this gap by strictly interpolating between SGD and Adam, effe
VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
arXiv:2604.12431v3 Announce Type: replace-cross Abstract: Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify that the contracted algorithm was faithfully executed. VeriX-Anon is a multi-layered verific
Anon: Extrapolating Optimizer Adaptivity Across the Real Spectrum
arXiv:2605.02317v1 Announce Type: new Abstract: Adaptive optimizers such as Adam have achieved great success in training large-scale models like large language models and diffusion models. However, they often generalize worse than non-adaptive methods, such as SGD on classical architectures like CNN
