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Merged
merged 3 commits into from
Apr 18, 2025
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NouamaneTazi
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What does this PR do?

Fixes # (issue)

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  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  • Did you read the contributor guidelines?
  • Did you write any new necessary tests?
  • Did you log the throughput and loss you get to ensure the PR works as expected in actual training?
  • Did you log the memory usage? you can use this tool to understand the memory usage breakdown in nanotron.
  • If you modified anything related to checkpoints, did you verify that saving and reloading checkpoints still works correctly?

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NouamaneTazi and others added 3 commits April 14, 2025 14:16
* Update clm_collator.py

* can only merge to main from dev (#348)

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>
* InitScalingMethod

* InitScalingMethod

* run evals in background (#352)

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
@NouamaneTazi NouamaneTazi merged commit 37cc8b0 into main Apr 18, 2025
3 of 5 checks passed
NouamaneTazi added a commit that referenced this pull request Apr 23, 2025
* can only merge to main from dev (#348)

* move moe from qwen modeling to src/nn

* add groupedmlp

* add token permute and unpermute

* fix num_tokens_per_expert counting < num_experts

* fix init and init scaling factor and run evals in background (#353)

* can only merge to main from dev

* Fix UnBoundLocalError in `clm_collator.py` (#339)

* Update clm_collator.py

* can only merge to main from dev (#348)

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>

* fix init and init scaling factor and run evals in background (#349)

* InitScalingMethod

* InitScalingMethod

* run evals in background (#352)

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

* inference qwen moe seems to work

inference seems good rn

* update readme

* fix router's weight initialization and wrong hidden size for non-moe mlp in qwen

* add source for router weight and router logits in float32

* fixes

* .

* .

* add parametrize grouped mlp in column and row linear

* add logging per-param grad norm

* fix conversation fail due to buffer on cpu

* config_qwen

* .

* .

* fix moe convert config

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>
Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
Co-authored-by: zzhhjjj <z785566960@gmail.com>
Co-authored-by: nouamanetazi <nouamane98@gmail.com>
garongkim pushed a commit to garongkim/nanotron that referenced this pull request Jun 2, 2025
* can only merge to main from dev (huggingface#348)

* move moe from qwen modeling to src/nn

* add groupedmlp

* add token permute and unpermute

* fix num_tokens_per_expert counting < num_experts

* fix init and init scaling factor and run evals in background (huggingface#353)

* can only merge to main from dev

* Fix UnBoundLocalError in `clm_collator.py` (huggingface#339)

* Update clm_collator.py

* can only merge to main from dev (huggingface#348)

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>

* fix init and init scaling factor and run evals in background (huggingface#349)

* InitScalingMethod

* InitScalingMethod

* run evals in background (huggingface#352)

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

* inference qwen moe seems to work

inference seems good rn

* update readme

* fix router's weight initialization and wrong hidden size for non-moe mlp in qwen

* add source for router weight and router logits in float32

* fixes

* .

* .

* add parametrize grouped mlp in column and row linear

* add logging per-param grad norm

* fix conversation fail due to buffer on cpu

* config_qwen

* .

* .

* fix moe convert config

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>
Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
Co-authored-by: zzhhjjj <z785566960@gmail.com>
Co-authored-by: nouamanetazi <nouamane98@gmail.com>
@SulRash
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SulRash commented Jun 17, 2025

This pull request seemingly breaks some functionality when running the example: CUDA_DEVICE_MAX_CONNECTIONS=1 torchrun --nproc_per_node=1 run_train.py --config-file examples/config_tiny_llama.yaml I get:

[rank0]:   File "/home/sultan/Documents/github/nanotron/src/nanotron/models/llama.py", line 1095, in init_model_randomly
[rank0]:     parametrizator = parametrizator_cls(config=config.model)
[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/home/sultan/Documents/github/nanotron/src/nanotron/scaling/parametrization.py", line 45, in __init__
[rank0]:     self.std = config.model.init_method.std
[rank0]:                ^^^^^^^^^^^^
[rank0]: AttributeError: 'ModelArgs' object has no attribute 'model'

Where before this commit, it would correctly use config.init_method.std.

NouamaneTazi added a commit that referenced this pull request Jun 23, 2025
* can only merge to main from dev

* Fix UnBoundLocalError in `clm_collator.py` (#339)

* Update clm_collator.py

* can only merge to main from dev (#348)

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>

* fix init and init scaling factor and run evals in background (#349)

* InitScalingMethod

* InitScalingMethod

* run evals in background (#352)

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

* [Feature] Implement CUDA event-based timing for improved GPU performa… (#346)

* [Feature] Implement CUDA event-based timing for improved GPU performance measurement

* can only merge to main from dev (#348)

* Fix timer decorator logic: Support both CPU and CUDA timers and update docs

* Fix timer decorator logic: support both CPU and CUDA; update docs

---------

Co-authored-by: Kabir Grewal <kabirgrewal@Kabirs-MacBook-Pro-5.local>
Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>
Co-authored-by: Kabir Grewal <kabirgrewal@kabirs-mbp-5.wireless-1x.unc.edu>

* amend previous pr (#354)

* MoE without token dropping (#355)

* can only merge to main from dev (#348)

* move moe from qwen modeling to src/nn

* add groupedmlp

* add token permute and unpermute

* fix num_tokens_per_expert counting < num_experts

* fix init and init scaling factor and run evals in background (#353)

* can only merge to main from dev

* Fix UnBoundLocalError in `clm_collator.py` (#339)

* Update clm_collator.py

* can only merge to main from dev (#348)

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>

* fix init and init scaling factor and run evals in background (#349)

* InitScalingMethod

* InitScalingMethod

* run evals in background (#352)

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

* inference qwen moe seems to work

inference seems good rn

* update readme

* fix router's weight initialization and wrong hidden size for non-moe mlp in qwen

* add source for router weight and router logits in float32

* fixes

* .

* .

* add parametrize grouped mlp in column and row linear

* add logging per-param grad norm

* fix conversation fail due to buffer on cpu

* config_qwen

* .

* .

* fix moe convert config

---------

Co-authored-by: Nouamane Tazi <nouamane@huggingface.co>
Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
Co-authored-by: zzhhjjj <z785566960@gmail.com>
Co-authored-by: nouamanetazi <nouamane98@gmail.com>

* Nouamane/lighteval (#356)

* InitScalingMethod

* InitScalingMethod

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

* add requeue

* add wandb with lighteval and fix eval interval

* fix this little space :(

* folder_path should always have s3 when using s3 (fix consumed tokens issue)

* config qwen

* .

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

* SmoLM3 training 🚀 (#375)

* InitScalingMethod

* InitScalingMethod

* eval

* try adding lightevalrunner to trainer

* amend

* amend

* amend

* amend

* amend

* amend

* .

* amend

* amend

* .

* qos to low

* add nanotron_path

* some fix: logs, and config

* cp instead of sync

* eval_interval

* serialize sanity checks

* add output dir and s3_save path in the config

* fix s3 only if define

* fixes

* add requeue

* add wandb with lighteval and fix eval interval

* fix this little space :(

* folder_path should always have s3 when using s3 (fix consumed tokens issue)

* fix resuming with new data mixture

* offsets must be in samples not tokens

* sanity check local files when dataset_read_path

* better error for new stage

* rmsnorm

* sliding window

* causal SWA

* Revert "rmsnorm"

This reverts commit 17dad0a.

* rope_seq_len_interpolation_factor

* logmixin for intermediate tensors + CP + consumed_token shenanigans when resuming training (#365)

* logmixin

* context parallelism (llama3 ring attn) + consumed_token shenanigans (#366)

* training works

* llama3 ring attn

* llama3 ring attn

* llama3 ring attn

* fix position_ids (make them global)

* rope_seq_len_interpolation_factor assert

* .

* .

* fix rope and cp_pg

* fixed consumed_tokens log

---------

Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>

---------

Co-authored-by: Connector Switch <c8ef@outlook.com>
Co-authored-by: elie <97572401+eliebak@users.noreply.github.com>
Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
Co-authored-by: grewalsk <136873529+grewalsk@users.noreply.github.com>
Co-authored-by: Kabir Grewal <kabirgrewal@Kabirs-MacBook-Pro-5.local>
Co-authored-by: Kabir Grewal <kabirgrewal@kabirs-mbp-5.wireless-1x.unc.edu>
Co-authored-by: XλRI-U5 <b3f0cus@icloud.com>
Co-authored-by: zzhhjjj <z785566960@gmail.com>
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3 participants