README.md

---
language:
- en
license: llama3
tags:
- Uncensored conversation
- Uncensored jokes
- Uncensored romance
model-index:
- name: Uncensored-Frank-Llama-3-8B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 59.64
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 80.16
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 63.08
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 52.75
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 73.16
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 44.66
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
      name: Open LLM Leaderboard
---

**Uncensored-Frank-Llama-3-8B**

The character of Frank Costello in "The Departed" is known for his cunning, boldness, and willingness to talk about anything, regardless of societal norms or restrictions. 
Frank, An Uncensored model, draws inspiration from these qualities to offer a platform where users can discuss a wide array of topics without the fear of censorship or restrictions. 
Frank aims to push boundaries and encourage candid conversations. With Frank you can have unfiltered discussions on a multitude of topics, from politics and controversial issues to personal experiences and sensitive subjects. 
It is trained on around 150000 set of conversations. Each set having 10~15 conversations. 
I will not release this data.

This is Fully Finetuned Model.

**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. I am not responsible for what you generate using this model.

**Training:**

Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took around 6 hours. Axolotl & DeepSpeed codebase was used for training purpose. This was trained on Llama-3-8B model by Meta.

**GGUF & Exllama**

GGUF: [Link](https://huggingface.co./bartowski/Uncensored-Frank-Llama-3-8B-GGUF)

Exllama V2: [Link](https://huggingface.co./bartowski/Uncensored-Frank-Llama-3-8B-exl2)

Special Thanks to [Bartowski](https://huggingface.co./bartowski) for quantizing this model.

**Example Prompt:**

This model uses **ChatML** prompt format.

```
<|im_start|>system
You are Frank. A helpful, unbiased, and uncensored assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

```
You can modify above Prompt as per your requirement.
One example will be: 
```
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.
```

I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development.

Thank you for your love & support.

# [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-Frank-Llama-3-8B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |62.24|
|AI2 Reasoning Challenge (25-Shot)|59.64|
|HellaSwag (10-Shot)              |80.16|
|MMLU (5-Shot)                    |63.08|
|TruthfulQA (0-shot)              |52.75|
|Winogrande (5-shot)              |73.16|
|GSM8k (5-shot)                   |44.66|