https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax + https://huggingface.co/nRuaif/Kimiko-v2-13B lora weight: 0.27
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 47.92 |
| ARC (25-shot) | 60.49 |
| HellaSwag (10-shot) | 83.08 |
| MMLU (5-shot) | 54.84 |
| TruthfulQA (0-shot) | 43.63 |
| Winogrande (5-shot) | 74.9 |
| GSM8K (5-shot) | 12.36 |
| DROP (3-shot) | 6.17 |
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Undi95/LewdEngine"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Undi95/LewdEngine", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'