Alpha-Anon-V01-135M

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:

[More Information Needed]

Model Card Contact

For more information, contact @Named666 on X (https://x.com/Named666).

Framework versions

• PEFT 0.14.0