Skip to content

Latest commit

 

History

History
 
 

mixtral

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
README.md
README.md
 
 
generate.py
generate.py
 
 

README.md

Mixtral

In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Mixtral models on Intel CPUs. For illustration purposes, we utilize the mistralai/Mixtral-8x7B-Instruct-v0.1 as a reference Mixtral model.

Requirements

To run these examples with BigDL-LLM on Intel CPUs, we have some recommended requirements for your machine, please refer to here for more information.

Important: Please make sure you have installed transformers==4.36.0 to run the example.

Example: Predict Tokens using generate() API

In the example generate.py, we show a basic use case for a Mixtral model to predict the next N tokens using generate() API, with BigDL-LLM INT4 optimizations on Intel CPUs.

1. Install

We suggest using conda to manage the Python environment. For more information about conda installation, please refer to here.

After installing conda, create a Python environment for BigDL-LLM:

conda create -n llm python=3.9 # recommend to use Python 3.9
conda activate llm

# below command will install PyTorch CPU as default
pip install torch==2.0.1 --index-url https://download.pytorch.org/whl/cpu
pip install --pre --upgrade bigdl-llm[all]

# Please make sure you are using a stable version of Transformers, 4.36.0 or newer.
pip install transformers==4.36.0

2. Run

python ./generate.py --prompt 'What is AI?'

In the example, several arguments can be passed to satisfy your requirements:

  • --repo-id-or-model-path REPO_ID_OR_MODEL_PATH: argument defining the huggingface repo id for the Mixtral model (e.g. mistralai/Mixtral-8x7B-Instruct-v0.1) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'mistralai/Mixtral-8x7B-Instruct-v0.1'.
  • --prompt PROMPT: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be 'What is AI?'.
  • --n-predict N_PREDICT: argument defining the max number of tokens to predict. It is default to be 32.

Sample Output

mistralai/Mixtral-8x7B-Instruct-v0.1

Inference time: xxxx s 
-------------------- Output --------------------
[INST] What is AI? [/INST] AI, or Artificial Intelligence, refers to the development of computer systems that can perform tasks that would normally require human intelligence to accomplish. These tasks can include things