> For the complete documentation index, see [llms.txt](https://riteshs4hu.gitbook.io/infosec-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://riteshs4hu.gitbook.io/infosec-notes/artificial-intelligence/ai-agents/hugging-face.md).

# Hugging Face

Hugging Face hosts a large collection of open-source LLMs that can be downloaded and run locally.

#### Uncensored Models

"Uncensored" models generally refer to open-source models with little or no safety filtering or alignment compared to mainstream chat assistants. They typically respond more freely to a wider range of prompts.

{% embed url="<https://www.reddit.com/r/LocalLLaMA/comments/1qsvgsh/some_uncensored_models/>" %}

#### Usage

Run the model with Ollama:

```bash
ollama run hf.co/DevQuasar-7/huihui-ai.DeepSeek-R1-Distill-Qwen-7B-abliterated-GGUF:Q8_0
```

Use the model with Open Interpreter:

```bash
interpreter \
  --api_base http://localhost:11434/v1 \
  --api_key ollama \
  --model hf.co/DevQuasar-7/huihui-ai.DeepSeek-R1-Distill-Qwen-7B-abliterated-GGUF:Q8_0
```

* LLM For Cybersecurity

{% embed url="<https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.5>" %}