Metadata-Version: 2.4 Name: lmr Version: 0.1.0 Summary: Research code for training large language models. Requires-Python: >=3.9 Description-Content-Type: text/markdown Requires-Dist: torch==2.7.0 Requires-Dist: torchtune==0.6.1 Requires-Dist: torchao==0.11.0 Requires-Dist: datasets==3.6.0 Requires-Dist: transformers==4.52.4 Requires-Dist: huggingface-hub==0.31.4 Requires-Dist: hydra-core==1.3.2 Requires-Dist: omegaconf==2.3.0 Requires-Dist: tqdm==4.67.1 Requires-Dist: zstandard<1.0.0,>=0.21.0 Requires-Dist: python-dotenv==1.1.1 Made by William Convertino conda activate /work/jf381/.cache/lmr_new conda activate /work/jf381/.cache/lmr_new_12_15 pip install /work/jf381/code/lm-research -e ./ cd /work/jf381/code/lm-research bash /work/jf381/code/lm-research/scripts/training/train_bash_transformer_medium_generate.sh # 1. Create the environment # -p specifies a path (instead of -n for name) # python=3.10 is a stable choice (Python 1.15 does not exist) conda create -p /work/jf381/.cache/lmr_new_1_15_dcc python=3.10 -y # 2. Activate the environment conda activate /work/jf381/.cache/lmr_new_1_15_h200 # 3. Install the package in editable mode # -e comes *before* the path pip install -e /work/jf381/code/lm-research pip install evaluate pip install scikit-learn pip install rotary_embedding_torch ## Eval reminder There is a change in bert and gpt2 codebase Eval file for tinygsm: /work/jf381/code/lm-research/scripts/training/train_medium_bash_resume.sh 1, For GPT2: We have gpt2 tokenizer: need tcohange we will have some files to modify in /work/jf381/code/lm-research/scripts/training/train_medium_bash_resume.sh FST_353M has some files trained with old version resume_new FST_1_3B is up to date resume Transformer_1_3B is up to date resume Transformer_353M is up to date resume 2, /work/jf381/code/lm-research/scripts/training/train_medium_bash_resume_transformer_bert_prediction.sh For Bert: we will start from 2 gpu version of ar model trained on slim-6B We have bert tokenizer: need to change bert_2_gpu_transformer bert_2_gpu_fst we will have sbatch version and no svatch version be careful cp cp huggingface-cli upload jasonfan/FST_code /work/jf381/code/lm-research