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Merge pull request #374 from gdengk/gaod/moe/mixtral-script-2405
Update mixtral scripts for performance
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,26 @@ | ||
| #!/bin/bash | ||
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| #Users should setup their cluster type in /launcher_scripts/conf/config.yaml | ||
| NEMO_FRAMEWORK_LAUNCHER_DIR=${NEMO_FRAMEWORK_LAUNCHER_DIR:-"/opt/NeMo-Framework-Launcher"} | ||
| DATA_DIR=${DATA_DIR} | ||
| TOK_PATH=${TOK_PATH} | ||
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| HYDRA_FULL_ERROR=1 python3 ${NEMO_FRAMEWORK_LAUNCHER_DIR}/launcher_scripts/main.py \ | ||
| training==mixtral/mixtral_8x3b \ | ||
| stages=[training] \ | ||
| data_dir=${DATA_DIR} \ | ||
| launcher_scripts_path=${NEMO_FRAMEWORK_LAUNCHER_DIR}/launcher_scripts \ | ||
| base_results_dir=${NEMO_FRAMEWORK_LAUNCHER_DIR}/results \ | ||
| training.run.name="mixtral_8x3b_bf16" \ | ||
| training.run.time_limit=0:30:00 \ | ||
| training.model.tokenizer.model=${TOK_PATH} \ | ||
| training.model.pipeline_model_parallel_size=1 \ | ||
| training.model.virtual_pipeline_model_parallel_size=null \ | ||
| training.model.expert_model_parallel_size=8 \ | ||
| training.model.moe_grouped_gemm=False \ | ||
| training.model.gradient_accumulation_fusion=True \ | ||
| training.model.optim.name=mcore_distributed_optim \ | ||
| +training.model.optim.overlap_grad_sync=True \ | ||
| +training.model.optim.overlap_param_sync=True \ | ||
| +training.model.optim.grad_sync_dtype=bf16 \ | ||
| +env_vars.NCCL_P2P_NET_CHUNKSIZE=2097152 \ |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,30 @@ | ||
| #!/bin/bash | ||
|
|
||
| #Users should setup their cluster type in /launcher_scripts/conf/config.yaml | ||
| NEMO_FRAMEWORK_LAUNCHER_DIR=${NEMO_FRAMEWORK_LAUNCHER_DIR:-"/opt/NeMo-Framework-Launcher"} | ||
| DATA_DIR=${DATA_DIR} | ||
| TOK_PATH=${TOK_PATH} | ||
|
|
||
| HYDRA_FULL_ERROR=1 python3 ${NEMO_FRAMEWORK_LAUNCHER_DIR}/launcher_scripts/main.py \ | ||
| training==mixtral/mixtral_8x7b \ | ||
| stages=[training] \ | ||
| data_dir=${DATA_DIR} \ | ||
| launcher_scripts_path=${NEMO_FRAMEWORK_LAUNCHER_DIR}/launcher_scripts \ | ||
| base_results_dir=${NEMO_FRAMEWORK_LAUNCHER_DIR}/results \ | ||
| training.run.name="mixtral_8x7b_bf16" \ | ||
| training.run.time_limit=0:30:00 \ | ||
| training.model.tokenizer.model=${TOK_PATH} \ | ||
| training.model.tensor_model_parallel_size=1 \ | ||
| training.model.pipeline_model_parallel_size=4 \ | ||
| training.model.virtual_pipeline_model_parallel_size=8 \ | ||
| training.model.expert_model_parallel_size=8 \ | ||
| training.model.sequence_parallel=False \ | ||
| training.model.moe_grouped_gemm=False \ | ||
| training.model.gradient_accumulation_fusion=True \ | ||
| training.model.overlap_p2p_comm=True \ | ||
| training.model.batch_p2p_comm=False \ | ||
| training.model.optim.name=mcore_distributed_optim \ | ||
| +training.model.optim.overlap_grad_sync=True \ | ||
| +training.model.optim.overlap_param_sync=True \ | ||
| +training.model.optim.grad_sync_dtype=bf16 \ | ||
| +env_vars.NCCL_P2P_NET_CHUNKSIZE=2097152 \ |