benchllama 0.2.3

Benchmark your local LLMs.

🧮 Benchllama

An open-source tool to benchmark you local LLMs.

Introduction

Story

🚀 Installation

$ pip install benchllama

⚙️ Usage

$ benchllama [OPTIONS] COMMAND [ARGS]...

Options:

• --install-completion: Install completion for the current shell.
• --show-completion: Show completion for the current shell, to copy it or customize the installation.
• --help: Show this message and exit.

Commands:

• evaluate
• clean

benchllama evaluate

Usage:

$ benchllama evaluate [OPTIONS]

Options:

• --models TEXT: Names of models that need to be evaluated. [required]
• --provider-url TEXT: The endpoint of the model provider. [default: http://localhost:11434]
• --dataset FILE: By default, bigcode/humanevalpack from Hugging Face will be used. If you want to use your own dataset, specify the path here.
• --languages [python|js|java|go|cpp]: List of languages to evaluate from bigcode/humanevalpack. Ignore this if you are brining your own data [default: Language.python]
• --num-completions INTEGER: Number of completions to be generated for each task. [default: 3]
• --no-eval / --eval: If true, evaluation will be done [default: no-eval]
• --k INTEGER: The k for calculating pass@k. The values shouldn't exceed num_completions [default: 1, 2]
• --samples INTEGER: Number of dataset samples to evaluate. By default, all the samples get processed. [default: -1]
• --output PATH: Output directory [default: /tmp]
• --help: Show this message and exit.

benchllama clean

Usage:

$ benchllama clean [OPTIONS]

Options:

• --run-id TEXT: Run id
• --output PATH: Output directory [default: /tmp]
• --help: Show this message and exit.