llm_evaluation_in_reasoning
A project for evaluating reasoning capabilities in large language models (LLMs).
Read this in other languages: English, 中文.
Run the eval
Install the package
pip install llm_evaluation_in_reasoning
Create the .env file
Create a .env file with the following:
OPENAI_API_KEY=<your key>
ANTHROPIC_API_KEY=<your key>
...
The api key you provided will be used to fetch the valid models supported by Litellm.
Run Instructions
Support GSM-Symbolic, GSM8K, MMLU, SimpleBench
To run a benchmark:
llm_eval --model_name=ollama/qwen2.5:0.5b --dataset=SimpleBench # run llm_eval --help to see help information
Model support
Model support is based on Litellm, see the docs here Litellm Providers
Build the project
Setup Instructions
Clone the github repo and cd into it.
git clone https://github.com/ashengstd/llm_evaluation_in_reasoning.git
cd llm_evaluation_in_reasoning
Install uv:
The best way to install dependencies is to use uv.
If you don't have it installed in your environment, you can install it with the following:
curl -LsSf https://astral.sh/uv/install.sh | sh # macOS and Linux
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # Windows
Sync the dependencies
uv sync --all-extra
1 maintainer
Metadata
1 maintainer
Release files for llm-evaluation-in-reasoning 1.4.2
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Source distribution (sdist)
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Total release size: 172.1 kB
Release files / llm_evaluation_in_reasoning-1.4.2.tar.gz
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