fsdp2.yaml

# =============================================================================
# FSDP Configuration for running LLM PTQ on multinode setup. This file is consumed by examples/llm_ptq/multinode_ptq.py
# =============================================================================

compute_environment: LOCAL_MACHINE
debug: false
distributed_type: FSDP
downcast_bf16: 'no'
enable_cpu_affinity: false
fsdp_config:
  fsdp_activation_checkpointing: false
  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
  fsdp_cpu_ram_efficient_loading: true
  fsdp_offload_params: false
  fsdp_reshard_after_forward: true
  fsdp_state_dict_type: FULL_STATE_DICT
  fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
  fsdp_use_orig_params: true
  fsdp_version: 2
machine_rank: 0
main_training_function: main
mixed_precision: 'no'
num_machines: 2
num_processes: 16
rdzv_backend: c10d
same_network: true
tpu_env: []
tpu_use_cluster: false
tpu_use_sudo: false
use_cpu: false