metadata

license: llama2
language:
  - ko
  - en
library_name: transformers

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

mncai/llama2-13b-dpo-v7

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")

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