Security Policy

Reporting Security Issues

If you discover a potential security vulnerability in this repository or its associated model artifacts, please do not open a public issue.

Instead, responsibly disclose the issue by contacting the maintainer directly:

Email: subinoy.bera.ds@gmail.com || arnabkarmakar937@gmail.com

Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:

Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.) Full paths of source file(s) related to the manifestation of the issue The location of the affected source code (tag/branch/commit or direct URL) Any special configuration required to reproduce the issue Step-by-step instructions to reproduce the issue Proof-of-concept or exploit code (if possible) Impact of the issue, including how an attacker might exploit the issue This information will help us triage your report more quickly. We appreciate responsible disclosure and will make a best-effort attempt to acknowledge and address reported issues in a timely manner.

Safe Model Distribution

This repository distributes model weights exclusively in the safetensors format to reduce the risk of arbitrary code execution during deserialization.

Users are strongly discouraged from loading model weights from untrusted or unofficial sources.

Usage Responsibility

Machine learning models can produce unexpected or undesirable outputs. It is the responsibility of users to ensure that this model is deployed and used in a manner consistent with applicable laws, regulations, and ethical guidelines.