Anonym-cybersudo/JoT

1

stars

4

commits

Python

primary language

Feb 3, 2026

updated

README

Just on Time

Installation

conda create -n dllm python=3.10 -y
conda activate dllm

conda install cuda=12.4 -c nvidia
pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 \
    --index-url https://download.pytorch.org/whl/cu124

pip install -e .

git submodule update --init --recursive

pip install -e "lm-evaluation-harness[ifeval,math]"

How to run

bash scripts/eval_configs.sh

You will get best model results for dream

If you want to change parameters, change configurations lines in the eval_configs.sh

Results

You will get two files:

  1. <model_name>_<benchmark>_efficiency_<config>_<timestamp>.json: Contains efficiency metrics.
  2. <model_name>_<benchmark>_lm_eval_<config>_<timestamp>: Directory containing evaluation results.

Contributors

Anonym-cybersudo/JoT

1

stars

4

commits

Python

primary language

Feb 3, 2026

updated

README

Just on Time

Installation

conda create -n dllm python=3.10 -y
conda activate dllm

conda install cuda=12.4 -c nvidia
pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 \
    --index-url https://download.pytorch.org/whl/cu124

pip install -e .

git submodule update --init --recursive

pip install -e "lm-evaluation-harness[ifeval,math]"

How to run

bash scripts/eval_configs.sh

You will get best model results for dream

If you want to change parameters, change configurations lines in the eval_configs.sh

Results

You will get two files:

  1. <model_name>_<benchmark>_efficiency_<config>_<timestamp>.json: Contains efficiency metrics.
  2. <model_name>_<benchmark>_lm_eval_<config>_<timestamp>: Directory containing evaluation results.

Contributors

Languages

Python

98.5%

Shell

1.5%