# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("psyche/kollama2-7b")
model = AutoModelForMultimodalLM.from_pretrained("psyche/kollama2-7b")Quick Links
Fine-tunned Llama-2 Model with Korean Corpus
This model is a further trained Llama-2 model on the Korean datasets.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 43.71 |
| ARC (25-shot) | 53.24 |
| HellaSwag (10-shot) | 78.78 |
| MMLU (5-shot) | 42.31 |
| TruthfulQA (0-shot) | 44.56 |
| Winogrande (5-shot) | 73.95 |
| GSM8K (5-shot) | 5.99 |
| DROP (3-shot) | 7.11 |
- Downloads last month
- 384
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="psyche/kollama2-7b")