Model Description
“Luna AI Llama2 Uncensored” is a Llama2 based Chat model
fine-tuned on over 40,000 long form chat discussions
This model was fine-tuned by Tap, the creator of Luna AI.
Model Training
The fine-tuning process was performed on an 8x a100 80GB machine.
The model was trained on synthetic outputs which include multiple rounds of chats between Human & AI.
4bit GPTQ Version provided by @TheBloke - for GPU inference
GGML Version provided by @TheBloke - For CPU inference
Prompt Format
The model follows the Vicuna 1.1/ OpenChat format:
```
USER: I have difficulties in making friends, and I really need someone to talk to. Would you be my friend?
ASSISTANT: Of course! Friends are always here for each other. What do you like to do?
```
Benchmark Results
||||||
|---:|---:|---:|---:|---:|
|Task|Version| Metric |Value |Stderr|
|arc_challenge|0|acc_norm|0.5512|0.0146|
|hellaswag|0||||
|mmlu|1|acc_norm|0.46521|0.036|
|truthfulqa_mc|1|mc2|0.4716|0.0155|
|Average|-|-|0.5114|0.0150|
# [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_Tap-M__Luna-AI-Llama2-Uncensored)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 47.73 |
| ARC (25-shot) | 54.35 |
| HellaSwag (10-shot) | 78.6 |
| MMLU (5-shot) | 46.7 |
| TruthfulQA (0-shot) | 45.5 |
| Winogrande (5-shot) | 72.77 |
| GSM8K (5-shot) | 9.86 |
| DROP (3-shot) | 26.37 |