tomvaillant

gemma4-e4b-abliterated-journalist

Deploy Dedicated

Dedicated Endpoints

Run this model inference on single tenant GPU with unmatched speed and reliability at scale.

Learn more

Get help setting up a custom Dedicated Endpoints.

Talk with our engineer to get a quote for reserved GPU instances with discounts.

README

License: apache-2.0

Training

Method: QLoRA with Unsloth + TRL SFT
Base model: huihui-ai/Huihui-gemma-4-E4B-it-abliterated
Dataset: tomvaillant/investigative-journalism-training
Task: assistant responses for investigative reporting, OSINT tool selection, evidence handling, verification, media law, and ethics

Sources And Attribution

Training data: tomvaillant/investigative-journalism-training — 687 instruction/response pairs synthesized by Claude Opus 4.6 (Anthropic) from the Buried Signals OSINT and investigative-journalism corpus: OSINT Navigator tool data, Indicator Media briefings, Buried Signals investigative skills, GIJN, Bellingcat, Verification Handbook 3, SPJ Code of Ethics, RCFP, and public manuals from UNESCO, Al Jazeera Media Institute, CiFAR, CIPE, and EJF/TEMPO Institute.

See the dataset card for the full source list, licenses, and per-partner attribution.

Intended Use

This model is intended to support journalists and researchers with investigative planning, OSINT methodology, source triangulation, tool selection, and structured verification workflows. Outputs should be treated as leads and drafts, not as independently verified facts.

This was trained with Unsloth.

Model provider

tomvaillant

Model tree

Base

huihui-ai/Huihui-gemma-4-E4B-it-abliterated

Adapter

this model

Modalities

Input

Text, Image

Output