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from transformers import LlamaForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("nnpy/Nape-0")
model = LlamaForCausalLM.from_pretrained("nnpy/Nape-0")assistant role: You are Semica, a helpful AI assistant.
user: {prompt}
assistant:
| Metric | Value |
|---|---|
| Avg. | 30.93 |
| ARC (25-shot) | 32.68 |
| HellaSwag (10-shot) | 58.68 |
| MMLU (5-shot) | 24.88 |
| TruthfulQA (0-shot) | 38.99 |
| Winogrande (5-shot) | 57.3 |
| GSM8K (5-shot) | 0.08 |
| DROP (3-shot) | 3.89 |