• Model creator: https://huggingface.co/shleeeee/
• Original model: https://huggingface.co/shleeeee/mistral-ko-7b-wiki-neft/

Original model description:

• ko pipeline_tag: text-generation tags:
• finetune

Model Card for mistral-ko-7b-wiki-neft

Model Details

• Model Developers : shleeeee(Seunghyeon Lee), oopsung(Sungwoo Park)
• Repository : To be added
• Model Architecture : The mistral-ko-7b-wiki-neft is is a fine-tuned version of the Mistral-7B-v0.1.
• Lora target modules : q_proj, k_proj, v_proj, o_proj,gate_proj
• train_batch : 4
• neftune_noise_alpha : 5
• Max_step : 1000

Dataset

Prompt template: Mistral

Usage

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("shleeeee/mistral-7b-wiki")
model = AutoModelForCausalLM.from_pretrained("shleeeee/mistral-7b-wiki")

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="shleeeee/mistral-7b-wiki")

Evaluation