Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 25.64 |
| ARC (25-shot) | 22.53 |
| HellaSwag (10-shot) | 27.37 |
| MMLU (5-shot) | 25.38 |
| TruthfulQA (0-shot) | 47.09 |
| Winogrande (5-shot) | 50.91 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 6.18 |
- Downloads last month
- 62
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "BreadAi/gpt-YA-1-1_70M"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BreadAi/gpt-YA-1-1_70M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'