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cp: Updating Configs for LLAMA3 70B LoRa (2292) into r0.3.0 #2311

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Merged
ko3n1g merged 1 commit into from
Feb 10, 2026
Merged

cp: Updating Configs for LLAMA3 70B LoRa (2292) into r0.3.0 #2311

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7 changes: 5 additions & 2 deletions scripts/performance/configs/llama/llama3_llm_finetune.py
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Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,7 @@ def llama3_70b_lora_config_gb300(precision: str = "bf16", config_variant: str =
peft="lora",
precision_config=precision_config,
packed_sequence=True,
seq_length=2048,
seq_length=4096,
)
set_llama3_common_peft_configs(cfg)
set_workload_base_configs(cfg, base_cfg)
Expand All @@ -231,11 +231,14 @@ def llama3_70b_lora_config_gb200(precision: str = "bf16", config_variant: str =
)
precision_config = get_precision_config(precision)

# BF16 uses seq_length=2048, FP8 variants use seq_length=4096
seq_length = 2048 if precision.lower() == "bf16" else 4096

cfg = llama3_70b_finetune_config(
peft="lora",
precision_config=precision_config,
packed_sequence=True,
seq_length=2048,
seq_length=seq_length,
)
set_llama3_common_peft_configs(cfg)
set_workload_base_configs(cfg, base_cfg)
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39 changes: 28 additions & 11 deletions scripts/performance/configs/llama/llama3_workload_base_configs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -554,55 +554,72 @@
BASE_LLAMA3_70B_CONFIG,
num_gpus=8,
peft="lora",
# pipeline_model_parallel_size=4,
# virtual_pipeline_model_parallel_size=20,
tensor_model_parallel_size=1,
pipeline_model_parallel_size=1,
context_parallel_size=1,
micro_batch_size=1,
global_batch_size=64,
global_batch_size=32,
cuda_graph_impl="transformer_engine",
cuda_graph_scope="mlp",
)

LLAMA3_70B_LORA_CONFIG_GB300_BF16_V1 = _LLAMA3_70B_LORA_CONFIG_GB300
LLAMA3_70B_LORA_CONFIG_GB300_FP8_CS_V1 = _LLAMA3_70B_LORA_CONFIG_GB300
LLAMA3_70B_LORA_CONFIG_GB300_FP8_MX_V1 = replace(
LLAMA3_70B_LORA_CONFIG_GB300_FP8_CS_V1,
pipeline_model_parallel_size=2, # PP=1 is OOM
_LLAMA3_70B_LORA_CONFIG_GB300,
pipeline_model_parallel_size=2,
)


_LLAMA3_70B_LORA_CONFIG_GB200 = replace(
BASE_LLAMA3_70B_CONFIG,
num_gpus=8,
peft="lora",
pipeline_model_parallel_size=4,
virtual_pipeline_model_parallel_size=20,
tensor_model_parallel_size=1,
pipeline_model_parallel_size=1,
context_parallel_size=1,
micro_batch_size=1,
global_batch_size=64,
cuda_graph_impl="transformer_engine",
cuda_graph_scope="mlp",
)

LLAMA3_70B_LORA_CONFIG_GB200_BF16_V1 = _LLAMA3_70B_LORA_CONFIG_GB200
LLAMA3_70B_LORA_CONFIG_GB200_FP8_CS_V1 = _LLAMA3_70B_LORA_CONFIG_GB200
LLAMA3_70B_LORA_CONFIG_GB200_FP8_CS_V1 = replace(
BASE_LLAMA3_70B_CONFIG,
num_gpus=8,
peft="lora",
tensor_model_parallel_size=1,
pipeline_model_parallel_size=2,
context_parallel_size=1,
micro_batch_size=1,
global_batch_size=32,
cuda_graph_impl="transformer_engine",
cuda_graph_scope="mlp",
)
LLAMA3_70B_LORA_CONFIG_GB200_FP8_MX_V1 = LLAMA3_70B_LORA_CONFIG_GB200_FP8_CS_V1


_LLAMA3_70B_LORA_CONFIG_H100 = replace(
BASE_LLAMA3_70B_CONFIG,
num_gpus=8,
peft="lora",
tensor_model_parallel_size=2,
tensor_model_parallel_size=1,
pipeline_model_parallel_size=4,
context_parallel_size=1,
virtual_pipeline_model_parallel_size=20,
micro_batch_size=1,
global_batch_size=32,
)

LLAMA3_70B_LORA_CONFIG_H100_BF16_V1 = replace(
_LLAMA3_70B_LORA_CONFIG_H100,
recompute_num_layers=2,
recompute_num_layers=1,
)
LLAMA3_70B_LORA_CONFIG_H100_FP8_CS_V1 = replace(
_LLAMA3_70B_LORA_CONFIG_H100,
tensor_model_parallel_size=2,
)
LLAMA3_70B_LORA_CONFIG_H100_FP8_CS_V1 = _LLAMA3_70B_LORA_CONFIG_H100


__all__ = [
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