Download examples/train/multi-node/accelerate/multi_node.yaml from BBBBCHAN/StreamDelta: direct link, hf CLI and curl.
- Browser
- Download file 465 Bytes
-
https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/train/multi-node/accelerate/multi_node.yaml
- Command line
-
hf download hf://datasets/BBBBCHAN/StreamDelta/examples/train/multi-node/accelerate/multi_node.yaml
-
curl -L -o multi_node.yaml https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/train/multi-node/accelerate/multi_node.yaml
465 Bytes
| compute_environment: LOCAL_MACHINE | |
| deepspeed_config: | |
| deepspeed_multinode_launcher: standard | |
| gradient_accumulation_steps: 16 | |
| offload_optimizer_device: none | |
| offload_param_device: none | |
| zero3_init_flag: false | |
| zero_stage: 3 | |
| distributed_type: DEEPSPEED | |
| main_process_ip: 'xxx.xxx.xxx.xxx' | |
| main_process_port: 29500 | |
| main_training_function: main | |
| mixed_precision: bf16 | |
| num_machines: 2 | |
| num_processes: 8 # world size | |
| rdzv_backend: static | |
| use_cpu: false | |