
# AISquare-Instruct-llama2-koen-13b-v0.9.24
  
## Model Details

**Developed by** 
[Inswave Systems](https://www.inswave.com) UI Platform Team

**Method**  
Using DPO method and SFT method 
     
**Hardware**  
We utilized an A100x4 * 1 for training our model

**Base Model**
[beomi/llama2-koen-13b](https://huggingface.co/beomi/llama-2-koen-13b)

   
# Implementation Code
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24"
model = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)
```

---

{"language": ["en"], "license": "cc-by-nc-4.0", "pipeline_tag": "text-generation"}
transformers safetensors llama text-generation en license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us