|
--- |
|
license: cc-by-nc-nd-4.0 |
|
language: |
|
- en |
|
--- |
|
|
|
**Jordan: An Uncensored Model** |
|
|
|
The name "Jordan" pays homage to the charismatic character Jordan Belfort, portrayed by Leonardo DiCaprio in the movie "The Wolf of Wall Street." |
|
Just like the character, Jordan aspires to push boundaries and encourage unfiltered conversations. |
|
Jordan Belfort, the central character in "The Wolf of Wall Street," is known for his audaciousness, charisma, and willingness to speak about anything, no matter the societal norms or boundaries. |
|
Jordan, the AI language model, draws inspiration from these qualities to offer a space where users can discuss a wide range of topics without fear of censorship or constraints. |
|
Users can engage in candid discussions about politics, religion, contentious issues, and other subjects that might be off-limits on mainstream social media platforms. |
|
It is trained on around 155000 set of conversations. Each set having 10~15 conversations. We will not release this data. |
|
|
|
**Warning** |
|
|
|
An uncensored model has no or little guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous objects. |
|
Publishing anything this model generates is the same as publishing it yourself. We are not responsible for what you generate using this model. |
|
|
|
**Training:** |
|
Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 28 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-1 by Meta. |
|
Llama-1 was used as it is very useful for Uncensored conversation. |
|
|
|
This is a full fine tuned model. Links for quantized models are given below. |
|
|
|
**GPTQ GGML & AWQ** |
|
|
|
GPTQ: [Link](https://huggingface.co/TheBloke/Uncensored-Jordan-7B-GPTQ) |
|
|
|
GGUF: [Link](https://huggingface.co/TheBloke/Uncensored-Jordan-7B-GGUF) |
|
|
|
AWQ: [Link](https://huggingface.co/TheBloke/Uncensored-Jordan-7B-AWQ) |
|
|
|
Special Thanks to [TheBloke](https://huggingface.co/TheBloke) for making these models available. |
|
|
|
**Note** |
|
|
|
Model was trained before the release of Mistral. |
|
|
|
|
|
**Example Prompt:** |
|
``` |
|
This is a conversation with your Uncensored AI assistant Jordan. Jordan can discuss with you at length about various topics such as ---, ---, ---, . You can ask it anything you want and it will do its best to give you accurate and relevant information. |
|
|
|
Context |
|
You are a Uncensored AI assistant. |
|
|
|
USER: <prompt> |
|
ASSISTANT: |
|
``` |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ajibawa-2023__Uncensored-Jordan-7B) |
|
|
|
| Metric | Value | |
|
|-----------------------|---------------------------| |
|
| Avg. | 46.88 | |
|
| ARC (25-shot) | 51.28 | |
|
| HellaSwag (10-shot) | 77.37 | |
|
| MMLU (5-shot) | 45.69 | |
|
| TruthfulQA (0-shot) | 47.5 | |
|
| Winogrande (5-shot) | 71.11 | |
|
| GSM8K (5-shot) | 6.75 | |
|
| DROP (3-shot) | 28.46 | |
|
|