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- work with vllm self-gen data (everything is tokenized during self-gen) - fix chat template! - not use liger kernel for distillation (for both training and eval)
20 lines
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485 B
JSON
20 lines
No EOL
485 B
JSON
{
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"bf16": {
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"enabled": "auto"
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},
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"zero_optimization": {
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"stage": 0,
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"stage3_gather_16bit_weights_on_model_save": "no",
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"offload_optimizer": {
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"device": "auto"
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},
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"offload_param": {
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"device": "auto"
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}
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},
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"gradient_clipping": "auto",
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"train_batch_size": "auto",
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"train_micro_batch_size_per_gpu": "auto",
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"gradient_accumulation_steps": "auto",
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"steps_per_print": 2000000
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} |