README.md

metadata

language:
  - en
pipeline_tag: text-generation
license: cc-by-nc-4.0

AISquare-Instruct-llama2-koen-13b-v0.9.24

Model Details

Developed by Inswave Systems 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

Implementation Code

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)

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