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---
datasets:
- kyujinpy/KOpen-platypus
language:
- ko
- en
pipeline_tag: text-generation
---
### Model Card for Model ID
base_model : [Ko-Llama3-Luxia-8B](https://huggingface.co./saltlux/Ko-Llama3-Luxia-8B)
### Basic usage
```python
# pip install accelerate
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("MDDDDR/Ko-Luxia-8B-it-v0.2")
model = AutoModelForCausalLM.from_pretrained(
"MDDDDR/Ko-Luxia-8B-it-v0.2",
device_map="auto",
torch_dtype=torch.bfloat16
)
input_text = "사과가 뭐야?"
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)
print(tokenizer.decode(outputs[0]))
```
### Training dataset
dataset : [kyujinpy/KOpen-platypus](https://huggingface.co./datasets/kyujinpy/KOpen-platypus)
### Hardware
RTX 3090 Ti 24GB x 1
### Model Benchmark Results
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
|-----------------|-------|------|-----:|-----------|---|-----:|---|------|
|kobest_boolq | 1|none | 0|acc |↑ |0.5278|± |0.0133|
| | |none | 0|f1 |↑ |0.3954|± |N/A |
|kobest_copa | 1|none | 0|acc |↑ |0.7380|± |0.0139|
| | |none | 0|f1 |↑ |0.7372|± |N/A |
|kobest_hellaswag | 1|none | 0|acc |↑ |0.4800|± |0.0224|
| | |none | 0|acc_norm |↑ |0.6180|± |0.0218|
| | |none | 0|f1 |↑ |0.4774|± |N/A |
|kobest_sentineg | 1|none | 0|acc |↑ |0.5390|± |0.0250|
| | |none | 0|f1 |↑ |0.5037|± |N/A |
|