flame/models/fla.toml

[model]
config = "fla-hub/hamilton-350M-15B"
tokenizer_path = "mistralai/Mistral-7B-v0.1"

[job]
dump_folder = "exp"
print_args = true

[training]
batch_size = 2
seq_len = 2048
context_len = 2048
gradient_accumulation_steps = 1
steps = 20480
max_norm = 1.0
skip_nan_inf = true
data_parallel_replicate_degree = 1
data_parallel_shard_degree = -1
tensor_parallel_degree = 1
compile = false
dataset = "SlimPajama-627B"
dataset_name = "default"
num_workers = 32
pin_memory = false
persistent_workers = false
prefetch_factor = 2
seed = 42
varlen = false

[optimizer]
name = "AdamW"
eps = 1e-15
lr = 3e-4

[lr_scheduler]
warmup_steps = 1024
decay_type = "cosine"
lr_min = 0.1

[checkpoint]
enable_checkpoint = true
folder = "checkpoint"
interval_type = "steps"
interval = 2048
model_weights_only = false
export_dtype = "float32"
async_mode = "disabled"    # ["disabled", "async", "async_with_pinned_mem"]

[profiling]
enable_profiling = false
save_traces_folder = "profile_trace"
profile_freq = 256

[metrics]
log_freq = 32
enable_wandb = true

[experimental]
context_parallel_degree = 1
pipeline_parallel_degree = 1

[float8]
enable_fsdp_float8_all_gather = false
precompute_float8_dynamic_scale_for_fsdp = false

[activation_checkpoint]
mode = "none"