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Open-weight model

fraud-detector

by Jathin Devidi JathinDevidi/fraud-detector

fraud-detector is an open-weight model from Jathin Devidi. Its published files total 20.2 MB.

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct. It has been trained using TRL. This model was trained with SFT.

Parameters—
Context—
Weights8.8 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct. It has been trained using TRL. This model was trained with SFT.

Excerpt from the card by Jathin Devidi.

Identity and Version

Repository
JathinDevidi/fraud-detector
Publisher
Jathin Devidi
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
trl, sft
Revision
658bc21713e8ec9bcaa11d5825dcc2a65cb50801
First published
2026-09-26
Last updated
2026-09-28

Files and Weights

8 files, 20.2 MB in total. The weights are 2 files totalling 8.8 MB in bin, safetensors.

Weights2 files · 8.8 MB
Configuration1 file · 1.1 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 1.4 KB
Other1 file · 2.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights8.7 MB 6ab53f6aba39
training_args.binWeights5.7 KB ff95520c42d2
adapter_config.jsonConfiguration1.1 KB —
README.mdDocumentation1.4 KB —
chat_template.jinjaOther2.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB 3fd169731d2c
tokenizer_config.jsonTokenizer694 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
8.8 MB
Download from Jathin Devidi

Released by Jathin Devidi through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published8.8 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.