metadata
language:
- ko
pipeline_tag: text-generation
tags:
- finetune
Model Card for mistral-ko-7b-wiki-neft
It is a fine-tuned model using Korean and NEFT in the mistral-7b model.
Model Details
- Model Developers : shleeeee(Seunghyeon Lee)
- 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
Korean Custom Dataset
Prompt template: Mistral
<s>[INST]{['instruction']}[/INST]{['output']}</s>
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
