license: llama2 language:
- ko
- en library_name: transformers base_model: mncai/llama2-13b-dpo-v7 pipeline_tag: text-generation
mnsim-dpo-peftmerged-2-eos
Our Team
| Research & Engineering | Product Management |
|---|---|
| David Sohn | David Sohn |
Model Details
Base Model
Trained On
- OS: Ubuntu 22.04
- GPU: A100 40GB 1ea
- transformers: v4.35.2
Instruction format
It follows Custom format.
E.g.
text = """\
<s>
<|user|>
건강한 식습관을 만들기 위해서는 어떻게 하는것이 좋을까요?
<|assistant|>
"""
Implementation Code
This model contains the chat_template instruction format.
You can use the code below.
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="msy127/mnsim-dpo-peftmerged-2-eos")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
model = AutoModelForCausalLM.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
Introduction to our service platform
- AI Companion service platform that talks while looking at your face.
- You can preview the future of the world's best, character.ai.
- https://livetalkingai.com