---
license: apache-2.0
datasets:
- anon8231489123/Omegle_logs_dataset
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- not-for-all-audiences
---

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This is [Xander Boyce](https://huggingface.co/takeraparterer)'s [OmegLLaMA LoRA](https://huggingface.co/takeraparterer/Omegllama) merged with [OpenLLama 3B](https://huggingface.co/openlm-research/open_llama_3b).

Prompt format:
```
Interests: {interests}
Conversation:
You: {prompt}
Stranger: 
```
For multiple interests, seperate them with space. Repeat You and Stranger for multi-turn conversations, which means Interests and Conversation are technically part of the system prompt.

q4_0 GGML and GGUF quants [here](https://huggingface.co/Aryanne/OmegLLaMA-3B-ggml-and-gguf).

This model is very good at NSFW ERP and sexting(For a 3B model). I recommend using this with [Faraday.dev](https://faraday.dev/) if you want ERP or sexting.
# [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_acrastt__OmegLLaMA-3B)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 33.55   |
| ARC (25-shot)         | 40.36          |
| HellaSwag (10-shot)   | 66.13    |
| MMLU (5-shot)         | 28.0         |
| TruthfulQA (0-shot)   | 33.31   |
| Winogrande (5-shot)   | 61.64   |
| GSM8K (5-shot)        | 0.23        |
| DROP (3-shot)         | 5.17         |

# [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_acrastt__OmegLLaMA-3B)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 33.55   |
| ARC (25-shot)         | 40.36          |
| HellaSwag (10-shot)   | 66.13    |
| MMLU (5-shot)         | 28.0         |
| TruthfulQA (0-shot)   | 33.31   |
| Winogrande (5-shot)   | 61.64   |
| GSM8K (5-shot)        | 0.23        |
| DROP (3-shot)         | 5.17         |