Model Card for Alpha Anon

GO FINTUNE YOURSELF!

Model Details

Model Description

Developed by: @Named666 on X (https://x.com/Named666)
Model type: Reinforcement fine-tuned model
Language(s) (NLP): English
License: [More Information Needed]
Finetuned from model: HuggingFaceTB/SmolLM-135M-Instruct

Model Sources

Repository: AlphaAnon on GitHub

Uses

Direct Use

Designed for individual use on consumer-level hardware.

Out-of-Scope Use

Not intended for cloud deployment or large-scale enterprise use.

Bias, Risks, and Limitations

Users should be aware of potential biases and limitations due to the nature of the training data from 4chan.

How to Get Started with the Model

Refer to the AlphaAnon GitHub repository for setup and usage instructions.

Training Details

Training Data

Live data from 4chan.

Training Procedure

Training regime: fp16 mixed precision
Hardware Type: Nvidia RTX 4070
Hours used: 8 hours

Evaluation

Testing Data, Factors & Metrics

Evaluation details are available in the AlphaAnon GitHub repository.

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator.

Hardware Type: Nvidia RTX 4070
Hours used: 8 hours
Cloud Provider: None (consumer-level hardware)
Compute Region: N/A
Carbon Emitted: [More Information Needed]

Technical Specifications

Model Architecture and Objective

Details available in the AlphaAnon GitHub repository.

Compute Infrastructure

Hardware: Nvidia RTX 4070
Software: PEFT 0.14.0

Citation

BibTeX:

[More Information Needed]

APA: