app.py

import gradio as gr
from transformers import AutoTokenizer, pipeline, logging
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import argparse

quantized_model_dir = "FPHam/Jackson_The_Formalizer_V2_13b_GPTQ"

model_basename = "Jackson2-4bit-128g-GPTQ.safetensors"

use_strict = False

use_triton = False

tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, use_fast=True)

quantize_config = BaseQuantizeConfig(
        bits=4,
        group_size=128,
        desc_act=False
    )

model = AutoGPTQForCausalLM.from_quantized(quantized_model_dir,
        use_safetensors=True,
        strict=use_strict,
        model_basename=model_basename,
        device="cuda:0",
        use_triton=use_triton,
        quantize_config=quantize_config)


demo.launch()