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- 8x H200 training config for Nebius/cloud - LoRA training script (rank 64, alpha 128) - Dataset: hanzoai/zen-agentic-dataset-private (10.5B tokens) - Launch script with SLURM and Docker support
36 lines
533 B
Plaintext
36 lines
533 B
Plaintext
# Zen Coder Flash - Dependencies
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# Install: pip install -r requirements.txt
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# Core Training
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torch>=2.2.0
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transformers>=4.45.0
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accelerate>=0.30.0
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peft>=0.10.0
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bitsandbytes>=0.43.0
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datasets>=2.18.0
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# Distributed Training
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deepspeed>=0.14.0
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# Flash Attention (optional but recommended)
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flash-attn>=2.5.0
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# Data Processing
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tiktoken>=0.6.0
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sentencepiece>=0.2.0
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safetensors>=0.4.0
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# Logging
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wandb>=0.16.0
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tensorboard>=2.16.0
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# HuggingFace Hub
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huggingface-hub>=0.22.0
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# Config
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pyyaml>=6.0
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# Evaluation
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evaluate>=0.4.0
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lm-eval>=0.4.0
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