chatbot-kernel 0.4.1

A Jupyter kernel using LLM models from Huggingface

chatbot_kernel

A Jupyter kernel to use Jupyter as a chat window, running downloaded LLMs locally.

Installation

This kernel package can be install from PyPI

$ pip install chatbot_kernel

Once the package installed, the kernel spec can be installed to home directory by command:

$ python -m chatbot_kernel install --user

If you are using virtualenv, do

$ python -m chatbot_kernel install --sys-prefix

instead.

If you install the package to a virtual environment, you may need to set up JUPYTER_PATH=/path/to/venv/share/jupyter:$JUPYTER_PATH so that jupyter can find the kernel

Usage

A few magics are available in the kernel:

• %help: Print help messages
• %config: Set advanced configuration. See more in %config help
• %load: Load a pretrained LLM
• %hf_home: Set the path to find downloaded LLMs, similar to set HF_HOME environment variable
• %model_list: Show the available LLMs
• %new_chat: Clean up the chat history

Before start chatting, you need to at least download a model from HuggingFace. For example, huggingface-cli download meta-llama/Meta-Llama-3-8B-Instruct. Once models are downloaded, launch a jupyter notebook/lab and execute %load <model> and start chatting. Here is an example:

%load meta-llama/Meta-Llama-3-8B-Instruct
hi 
who are you

Caveat

Currently, the kernel use the AutoModelForCausalLM and it is not supported by all models. A few models have been tested:

• meta-llama/Meta-Llama-3-8B-Instruct
• mistralai/Mistral-7B-Instruct-v0.3: needs sentencepiece dependency
• unsloth/llama-3-8b-Instruct-bnb-4bit: needs bitsandbytes dependency