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[Dataset Performance] Add num workers on dataset processing - labels, tokenization #1189

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merged 3 commits into from
Feb 25, 2025
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[Dataset Performance] Add num workers on dataset processing - labels, tokenization #1189

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add num workers on dataset processing - labels, tokenization
horheynm Feb 25, 2025
70ce6ba
Merge branch 'main' into num-proc-dataset
horheynm Feb 25, 2025
cb458e2
Merge branch 'main' into num-proc-dataset
dsikka Feb 25, 2025
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2 changes: 2 additions & 0 deletions examples/quantization_2of4_sparse_w4a16/llama7b_sparse_w4a16.py
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Expand Up @@ -33,6 +33,7 @@
bf16 = False # using full precision for training
lr_scheduler_type = "cosine"
warmup_ratio = 0.1
preprocessing_num_workers = 8

# this will run the recipe stage by stage:
# oneshot sparsification -> finetuning -> oneshot quantization
Expand All @@ -52,6 +53,7 @@
learning_rate=learning_rate,
lr_scheduler_type=lr_scheduler_type,
warmup_ratio=warmup_ratio,
preprocessing_num_workers=preprocessing_num_workers,
)
logger.info(
"llmcompressor does not currently support running compressed models in the marlin24 format." # noqa
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