Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

ko-en-llama2-13b-mixed-v1 – AI Model by GAI-LLM | AlphaNeural AI

You can deploy this model and start earning money today!

GAI-LLM/
ko-en-llama2-13b-mixed-v1

like

0

text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

The license is cc-by-nc-2.0.

GAI-LLM/ko-en-llama2-13b-mixed-v1

Model Details

Model Developers Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)

Input Models input text only.

Output Models generate text only.

Model Architecture
GAI-LLM/ko-en-llama2-13b-mixed-v1 is an auto-regressive language model based on the LLaMA2 transformer architecture.

Base Model hyunseoki/ko-en-llama2-13b

Training Dataset

We combined Open Korean Dateset using mixed-strategy.
- Kopen-platypus + Everythinglm v2 + jojo0217/korean_rlhf_dataset + sentineg + hellaswag + copa
We use A100 GPU 80GB * 8, when training.

Model Benchmark

KO-LLM leaderboard

Follow up as Open KO-LLM LeaderBoard.

Implementation Code

python

### GAI-LLM/ko-en-llama2-13b-mixed-v1
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "GAI-LLM/ko-en-llama2-13b-mixed-v1"
model = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)