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tomvaillant
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Model Details
Model Provider
tomvaillant
Model Tree
huihui-ai/Huihui-Qwen3-4B-abliterated-v2
Input Modalities
Output Modalities
Supported Functionality
huihui-ai/Huihui-Qwen3-4B-abliterated-v2tomvaillant/investigative-journalism-trainingTraining 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.
Designed for journalist-facing local inference and browser deployment. It can suggest workflows, tools, search strategies, and verification steps. Generated URLs, claims, and legal guidance must be checked against primary sources.
This was trained with Unsloth.