141 lines
4.2 KiB
Markdown
141 lines
4.2 KiB
Markdown
---
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license: other
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library_name: llama.cpp
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tags:
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- gguf
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- gpt2
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- code
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- text-generation
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- local-inference
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- nsfw
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- adult-content
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- withinusai
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language:
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- en
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datasets:
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- jjmachan/NSFW-reddit
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model_type: gguf
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inference: false
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base_model:
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- openai-community/gpt2-medium
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---
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# GPT-2.5.2-NSFW-Codex-0.4B-GGUF
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**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.
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## Model Summary
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This model is a small-footprint local inference release intended for experimentation with:
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- adult-content-aware text generation
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- niche prompt completion workflows
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- compact offline inference
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- GGUF-compatible runtimes such as llama.cpp-based stacks
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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.
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## Safety / Content Notice
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This repository is marked **Not-For-All-Audiences** on Hugging Face.
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The model may generate or continue prompts involving adult, explicit, or otherwise sensitive themes. Use of this model should be restricted to:
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- adults only
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- lawful contexts
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- consensual and non-exploitative fictional use
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- settings where sensitive outputs are acceptable and expected
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This model must **not** be used to generate exploitative, abusive, non-consensual, or otherwise harmful content.
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## Training Data
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The repository page visibly references the following dataset:
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- `jjmachan/NSFW-reddit`
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If additional datasets, merges, or fine-tuning steps were used, they should be added here explicitly.
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## Intended Use
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Recommended use cases include:
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- local offline generation experiments
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- adult-content classification or prompt-behavior testing
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- research on small-model behavior in sensitive domains
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- GGUF deployment in personal sandboxed environments
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## Out-of-Scope Use
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This model is not appropriate for:
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- minors
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- workplace or classroom environments
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- production systems without filtering
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- harassment, coercion, abuse, or exploitative roleplay
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- illegal sexual content
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- non-consensual or violent sexual content
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- sexualized content involving minors or age ambiguity
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- real-person sexual deepfake or image-related misuse
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- safety-critical advice of any kind
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## Format / Runtime
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This model is distributed in **GGUF** format for use with local inference runtimes that support GGUF, such as **llama.cpp** and compatible frontends.
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## Performance Expectations
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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:
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- long-form coherence
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- factual accuracy
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- instruction retention
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- nuanced safety boundaries
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- complex reasoning
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Human review is required for any meaningful downstream use.
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## Prompting Notes
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Best results usually come from prompts that are:
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- explicit about tone and format
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- short to medium length
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- clear about constraints
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- used in controlled local settings
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For safety, downstream applications should add:
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- input filtering
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- output moderation
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- age gating
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- logging and review controls where appropriate
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## Limitations
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Like other small language models, this model may:
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- hallucinate
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- produce repetitive outputs
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- ignore instructions
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- drift into undesired content
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- generate unsafe or low-quality text without strong prompting and controls
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## License
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This draft uses:
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- `license: other`
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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.
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## Acknowledgments
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Thanks to:
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- the GGUF / llama.cpp ecosystem
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- Hugging Face hosting infrastructure
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- the original creators of any upstream models or datasets used in this release
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## Disclaimer
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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. |