Skip to content

Updating gpt-oss-20b to use mxfp8 #6

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
chelsea0x3b wants to merge 1 commit into
base: lambda-moe-tflops
Choose a base branch
from
Open

Updating gpt-oss-20b to use mxfp8 #6

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 10 additions & 9 deletions torchtitan/models/gpt_oss/config_registry.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

from torchtitan.components.quantization import Float8LinearConverter, Float8GroupedExpertsConverter
from torchtitan.components.quantization import Float8LinearConverter, Float8GroupedExpertsConverter, MXFP8LinearConverter, MXFP8GroupedExpertsConverter
from torchtitan.components.checkpoint import CheckpointManager
from torchtitan.components.loss import ChunkedCELoss, CrossEntropyLoss
from torchtitan.components.lr_scheduler import LRSchedulersContainer
Expand All @@ -25,7 +25,7 @@

def gpt_oss_debugmodel() -> Trainer.Config:
return Trainer.Config(
loss=ChunkedCELoss.Config(),
loss=CrossEntropyLoss.Config(),
hf_assets_path="./tests/assets/tokenizer",
metrics=MetricsProcessor.Config(log_freq=1),
model_spec=model_registry("debugmodel"),
Expand Down Expand Up @@ -72,13 +72,13 @@ def gpt_oss_20b() -> Trainer.Config:
loss=CrossEntropyLoss.Config(),
hf_assets_path="./assets/hf/gpt-oss-20b",
model_spec=model_registry("20b", converters=[
Float8LinearConverter.Config(
MXFP8LinearConverter.Config(
model_compile_enabled=True,
filter_fqns=["output", "router.gate"],
fqns=["qkv_linear", "wo"],
),
MXFP8GroupedExpertsConverter.Config(
model_compile_enabled=True
),
Float8GroupedExpertsConverter.Config(
model_compile_enabled=True,
)
]),
dataloader=HuggingFaceTextDataLoader.Config(dataset="c4", pin_memory=True, num_workers=1, prefetch_factor=2),
optimizer=OptimizersContainer.Config(lr=8e-4),
Expand All @@ -89,15 +89,16 @@ def gpt_oss_20b() -> Trainer.Config:
min_lr_factor=0.1,
),
training=TrainingConfig(
local_batch_size=2,
local_batch_size=8,
seq_len=8192,
steps=10000,
),
parallelism=ParallelismConfig(
expert_parallel_degree=1,
fsdp_reshard_after_forward="never",
),
checkpoint=CheckpointManager.Config(interval=500),
activation_checkpoint=ActivationCheckpointConfig(mode="full"),
activation_checkpoint=ActivationCheckpointConfig(mode="selective"),
compile=CompileConfig(enable=True),
)

Expand Down
Loading