chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 13:34:58 +08:00
commit a203934033
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swift sft examples/train/multi-node/ray/sft.yaml
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model: Qwen/Qwen2.5-7B-Instruct
split_dataset_ratio: 0.0
tuner_type: lora
target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
torch_dtype: bfloat16
attn_impl: flash_attn
num_train_epochs: 5
per_device_train_batch_size: 1
per_device_eval_batch_size: 1
learning_rate: 1e-4
dataset: swift/self-cognition#1000
gradient_accumulation_steps: 8
eval_steps: 1000
save_steps: 1000
save_total_limit: 5
logging_steps: 5
warmup_ratio: 0.05
dataloader_num_workers: 0
dataset_num_proc: 8
deepspeed: zero3
model_name: swift-bot
model_author: swift
use_ray: true
device_groups:
nproc_per_node: 4
default:
device: GPU
ranks: list(range(0, 4))
workers:
- default