MCTSr: Mathematic as a Blackbox for LLM

Envoirment

Server

We need VLLM or other Openai compatible method.

pip install vllm

Clients

We need Huggingface toolkit and Openai for inference.

pip install datasets transformers openai

Usage

The script relies on Slurm, If you run it on non-slurm environments,

Just use VLLM to create a openai compatible server, and insert to 'server.csv'

IP,PORT,MODEL_NAME

If you run it on slurm environment, change the partition name to your own partition in make_n_server.py

then, you can run the run_with_earlystopping.py for datasets.

python run_with_earlystopping.py MODEL_NAME DATA_DIR_NAME

Support Datasets

datasets were given by the first part of DATA_DIR_NAME arguments, like gsm8k-llama3-8b-new-mcts-8 for gsm8k , can selected in,

        'gsm8k-llama3-8b-new-mcts-8',
         'gsmhard-llama3-8b-new-mcts-8',
         'olympiadbench-llama3-8b-new-mcts-8',
         'GAIC-llama3-8b-new-mcts-8',
         'MATH-llama3-8b-new-mcts-8',
         'AIME-llama3-8b-mcts-2'

Using run_olympics.py to run all of them.

Alert: That would consume a long time.

Disclaimer

This project was still in a very early stage for explore, pay attentions for the algorithm's output, and do not deploying it to real-world product without fully test.

https://arxiv.org/abs/2406.07394

iTharindu/MathBlackBox