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mistral-qlora-banking – AI Model by iamnotpalak | AlphaNeural AI

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iamnotpalak/
mistral-qlora-banking

like

0

text-generation

bitext/Bitext-retail-banking-llm-chatbot-training-dataset

mistralai/Mistral-7B-Instruct-v0.3

endpoints_compatible

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Mistral-7B QLoRA Fine-Tuned (Retail Banking Chatbot)

Overview

This model is a fine-tuned version of Mistral-7B using QLoRA for domain-specific conversational tasks in retail banking.

Model Details

Base Model: mistralai/Mistral-7B
Fine-tuning Method: QLoRA (4-bit NF4 quantization)
Framework: Hugging Face Transformers + PEFT
Task: Banking chatbot / conversational QA

Training

Dataset: Custom retail banking dataset
Approach: Parameter-Efficient Fine-Tuning (PEFT)
Objective: Improve domain-specific response generation

Evaluation

ROUGE-1: 0.47
ROUGE-L: 0.34
BLEU: 0.11

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

model_id = "iamnotpalak/mistral-qlora-banking"

tokenizer = AutoTokenizer.from_pretrained(model_id)
base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B")

model = PeftModel.from_pretrained(base_model, model_id)