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Privify Inc

Privify-Inc

AI Governance

Models in Library1
Datasets in Library0
Models on Hugging Face1
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Compare the published evidence

This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

aiact-tier-4b-v0.1

Privify Inc

Author: Bhaskar Tallamraju and Vishal Saxena, Privify Inc. · Code and benchmark: github.com/Privify-Inc/aiact-tier · Fine-tuned from: Qwen3-4B (Alibaba Cloud / Qwen Team, Apache 2.0) · License: Apache 2.0. The base model's capabilities come from the Qwen team's work; please cite the Qwen3 Technical Report alongside this model. A 4B-parameter model, fine-tuned from Qwen3-4B with LoRA (Low-Rank Adaptation, a lightweight fine-tuning method), that classifies a described AI system under the EU AI Act (Regulation (EU) 2024/1689). It returns a risk tier and the provisions that apply, as JSON. Provided as is, with no warranty and no liability (Apache 2.0, sections 7 and 8). Not legal advice, not a…

Open weights apache-2.0 peft