GPT2.5.2-NSFW-Codex-0.4B-GGUF/README.md

license, library_name, tags, language, datasets, model_type, inference, base_model

license	library_name	tags	language	datasets	model_type	inference	base_model
other	llama.cpp	gguf gpt2 code text-generation local-inference nsfw adult-content withinusai	en	jjmachan/NSFW-reddit	gguf	false	openai-community/gpt2-medium

GPT-2.5.2-NSFW-Codex-0.4B-GGUF

GPT-2.5.2-NSFW-Codex-0.4B-GGUF is a compact GGUF-format language model release from WithIn Us AI for local text generation workflows. This repository is marked as containing sensitive content and is intended only for appropriate, lawful, age-appropriate, and policy-compliant use.

Model Summary

This model is a small-footprint local inference release intended for experimentation with:

• adult-content-aware text generation
• niche prompt completion workflows
• compact offline inference
• GGUF-compatible runtimes such as llama.cpp-based stacks

Because this is a 0.4B-class model, it is best suited to lightweight experimentation and short generations rather than deep reasoning, long-context reliability, or high-accuracy instruction following.

Safety / Content Notice

This repository is marked Not-For-All-Audiences on Hugging Face.

The model may generate or continue prompts involving adult, explicit, or otherwise sensitive themes. Use of this model should be restricted to:

• adults only
• lawful contexts
• consensual and non-exploitative fictional use
• settings where sensitive outputs are acceptable and expected

This model must not be used to generate exploitative, abusive, non-consensual, or otherwise harmful content.

Training Data

The repository page visibly references the following dataset:

• jjmachan/NSFW-reddit

If additional datasets, merges, or fine-tuning steps were used, they should be added here explicitly.

Intended Use

Recommended use cases include:

• local offline generation experiments
• adult-content classification or prompt-behavior testing
• research on small-model behavior in sensitive domains
• GGUF deployment in personal sandboxed environments

Out-of-Scope Use

This model is not appropriate for:

• minors
• workplace or classroom environments
• production systems without filtering
• harassment, coercion, abuse, or exploitative roleplay
• illegal sexual content
• non-consensual or violent sexual content
• sexualized content involving minors or age ambiguity
• real-person sexual deepfake or image-related misuse
• safety-critical advice of any kind

Format / Runtime

This model is distributed in GGUF format for use with local inference runtimes that support GGUF, such as llama.cpp and compatible frontends.

Performance Expectations

As a compact 0.4B model, this release is optimized more for portability and low-resource inference than for high reliability. Users should expect possible weaknesses in:

• long-form coherence
• factual accuracy
• instruction retention
• nuanced safety boundaries
• complex reasoning

Human review is required for any meaningful downstream use.

Prompting Notes

Best results usually come from prompts that are:

• explicit about tone and format
• short to medium length
• clear about constraints
• used in controlled local settings

For safety, downstream applications should add:

• input filtering
• output moderation
• age gating
• logging and review controls where appropriate

Limitations

Like other small language models, this model may:

• hallucinate
• produce repetitive outputs
• ignore instructions
• drift into undesired content
• generate unsafe or low-quality text without strong prompting and controls

License

This draft uses:

• license: other

Replace this section with the exact WithIn Us AI license terms you want for redistribution and use. If this release is derived from upstream models, merged checkpoints, or third-party datasets, include clear attribution and any applicable upstream restrictions.

Acknowledgments

Thanks to:

• the GGUF / llama.cpp ecosystem
• Hugging Face hosting infrastructure
• the original creators of any upstream models or datasets used in this release

Disclaimer

This model may generate -explicit, inaccurate, biased, offensive, or otherwise unsuitable content. It should be used only in lawful, age-appropriate, policy-compliant contexts with appropriate safeguards.