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Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

Batchfile 0.75% Jupyter Notebook 99.25%
llama agi alpaca autogpt jupyter-notebook langchain language-model llm llms koboldai

local-llm-langchain's Issues

modules for Local-LLM notebook

Hi,
in the Local-LLM notebook we need to import:

`import sys
sys.argv = [sys.argv[0]]
import importlib
import json
import math
import os
import re
import sys
import time
import traceback
from functools import partial
from pathlib import Path
from threading import Lock
sys.path.append(str(Path().resolve().parent / "modules"))

import modules.extensions as extensions_module
from modules import chat, presets, shared, training, ui, utils
from modules.extensions import apply_extensions
from modules.github import clone_or_pull_repository
from modules.html_generator import chat_html_wrapper
from modules.LoRA import add_lora_to_model
from modules.models import load_model, unload_model
from modules.text_generation import (generate_reply_wrapper,
get_encoded_length, stop_everything_event)

import torch
torch.cuda.set_device(0)`

What is "modules"? It would be possible to have access to that code, please?
Thanks for sharing and all the hard work.
Cheers!

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