README.md

---
license: apache-2.0
datasets:
- Fredithefish/openassistant-guanaco-unfiltered
language:
- en
library_name: transformers
pipeline_tag: conversational
inference: false
---

<img src="https://huggingface.co/Fredithefish/Guanaco-3B-Uncensored/resolve/main/Guanaco-Uncensored.jpg" alt="Alt Text" width="295"/>

# ✨ Guanaco - 3B - Uncensored ✨


Guanaco-3B-Uncensored has been fine-tuned for 6 epochs on the [Unfiltered Guanaco Dataset.](https://huggingface.co/datasets/Fredithefish/openassistant-guanaco-unfiltered) using [RedPajama-INCITE-Base-3B-v1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-3B-v1) as the base model.
<br>The model does not perform well with languages other than English.
<br>Please note: This model is designed to provide responses without content filtering or censorship. It generates answers without denials.

## Special thanks
I would like to thank AutoMeta for providing me with the computing power necessary to train this model.


### Prompt Template
```
### Human: {prompt} ### Assistant:
```

### Changes
This is the second version of the 3B parameter Guanaco uncensored model.
The model has been fine-tuned on the V2 of the Guanaco unfiltered dataset.
# [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_Fredithefish__Guanaco-3B-Uncensored-v2)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 34.35   |
| ARC (25-shot)         | 42.15          |
| HellaSwag (10-shot)   | 66.72    |
| MMLU (5-shot)         | 26.18         |
| TruthfulQA (0-shot)   | 35.21   |
| Winogrande (5-shot)   | 63.3   |
| GSM8K (5-shot)        | 0.3        |
| DROP (3-shot)         | 6.6         |