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we've cherry picked #11789 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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} | # What does this PR do ?
When training with latest mcore's dist ckpt format. the model.model will sometimes be a list and this breaks the inference. This PR fix this issue.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.... | {
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When i follow this tutorial [https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/features/optimizations/sequence_packing.html#](url) with the training.jsonl generated by [https://docs.nvidia.com/nemo-framework/user-guide/24.07/playbooks/llama2sft.html](url) in Step 3.
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update 'LlamaTokenizer' → 'AutoTokenizer'
Starting from llama-3, the tokenizer has been switched to use `PreTrainedTokenizerFast` instead of `LlamaTokenizer`.
This PR fixes the tokenizer loading method, enabling it to function correctly with models released after llama-3
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📝 Please remember the following to-do's before merge:
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Add a null tokenizer to ease the runs for performance benchmark and debugging
# Changelog
Add a null tokenizer
# Usage
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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"Increasing num_workers can increase the host memory usage. Is my understanding correct that these A3 mega nodes have ~1.8TB of host memory? Do you have data points of how the process mem increase as you increase num_workers?\n\nDoes increasing the shared memory like in [this summary comment](https://github.com/pyt... | 2025-01-07T22:14:17 | 2025-01-14T21:30:55 | 2025-01-14T21:30:54 | NONE | {
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NeMo Llama 2 70B Pre-Training 20TB Dataset out-of-memory (CPU memory)
**Steps/Code to reproduce bug**
Using the default YAML file here: https://github.com/NVIDIA/NeMo-Framework-Launcher/blob/main/launcher_scripts/conf/training/llama/llama2_70b.yaml
The dataset is the pile dataset replicated 35 ... | {
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Multimodal
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https://github.com/NVIDIA/NeMo/pull/11563
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Addressing bug on trying to parse scaling factors that load to `None` on exporting a model to TensorRT-LLM:
```
File "/opt/NeMo/nemo/export/trt_llm/nemo_ckpt_loader/nemo_file.py", line 496, in load_nemo_model
model = preprocess_scaling_factors_for_local_export(model)
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Removes an outdated pin to tensorstore 0.1.45
**Collection**: [Note which collection this PR will affect]
# Changelog
- Removes version pins in requirements_infer.txt and requirements_nlp.txt
# GitHub Actions CI
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I tried converting the HF model to NeMo using the `convert_llama_hf_to_nemo.py` script but the code runs out of memory even on a 1TB system. Is there a workaround for th... | null | {
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} | Fix for this warning: NeMo-text-processing :: INFO :: Creating ClassifyFst grammars.
0%| | 0/8 [00:00<?, ?it/s] NeMo-text-processing :: WARNING :: Your... | {
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fix llama-3.1 hf model_id
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# Usage
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- [github.com/psf/black-pre-commit-mirror: 24.3.0 → 24.10.0](https://github.com/psf/black-pre-commit-mirror/compare/24.3.0...24.10.0)
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📝 Please remember the following to-do's before merge:
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} | # What does this PR do ?
Special tokens were not passed to sentencepiece library.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Enable Pipeline-Parallelism in conjunction with student-teacher distillation in NeMo 2
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- Create new script to enable KD in NeMo 2
- Modify the `MegatronParallel` forward pass to run teacher in addition to student
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* TBA
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Add `sequence_len_offset` to the signature of subclasses of TransformerLayer for compatibility with inference updates.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Recipe changes for performance in 25.01 release
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet de... | null | {
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**Collection**: [Note which collection this PR will affect]
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# Usage
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📝 Please remember the following to-do's before merge:
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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```
from nemo.collections import llm
import nemo_run as run
ckpt_import = run.Partial(
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model... | null | {
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} | # What does this PR do ?
Allow configuration of PP communication backend to UCC (default NCCL) in nemo2
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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} | # What does this PR do ?
This PR adds the following changes:
1) Uses `context_logits` to compute `logProbs` in case of eval benchmarks that have multiple token prediction. For ex: `arc_challenge`, `arc_easy`, `winogrande`, `copa` etc., (where as `MMLU`, `lambada` are single token prediction benchmarks. Uses `gene... | {
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} | fix typo bug
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```pyt... | null | {
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Adding `nemo_export.py --in-framework True [...]` test in Github Actions. This also includes:
* adding NeMo 2.0 support in this script
* adding [`generate`](https://github.com/NVIDIA/NeMo/blob/3e5fb000ab55071b0685be9986f25eb7e0a2697e/nemo/deploy/nlp/megatronllm_deployable.py#L182) method ... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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we've cherry picked #11745 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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I'm beginner of using NeMo framework.
Following the tutorial_pretraining.py (https://docs.nvidia.com/nemo-framework/user-guide/latest/nemo-2.0/quickstart.html)
I want to make small model (mamba7_780m) be learned with my old gpus ( Geforce RTX 2080 Ti -12GB * 2) .
So i wanted to chang model, optimizer variables... | {
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I would love to run LLaVA-Next pretraining with NeMo 2.0 following the [documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/vlms/llavanext.html) but failed with various errors with either nemo:24.12, nemo:24.09 or nemo:dev.
**Steps/Code to reproduce bug**
1. Pull the latest N... | null | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
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# Changelog
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} | # What does this PR do ?
Adds method `wait_for_server_ready` to `evaluation/base.py` that waits for the PyTriton server to be ready and the specific model (with name defined in `model_name` arg) to be loaded and ready before starting evaluation.
Adds bool [generation_logits_available](https://github.com/NVIDIA/Ne... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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https://github.com/NVIDIA/NeMo/pull/9868/files
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* ... | null | {
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} | # What does this PR do ?
Run & apply [Flake8](https://flake8.pycqa.org/en/latest/) suggestions for nemo.export including (most common):
* [F541: f-string without any placeholders](https://docs.astral.sh/ruff/rules/f-string-missing-placeholders)
* [F841 local variable 'x' is assigned to but never used](https://www.... | null | {
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we've cherry picked #11714 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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} | 🚀 PR to bump `NVIDIA/Megatron-LM` in `Dockerfile.ci` to `MCORE_TAG=076972e37420b5325c5fe06e7131be7d96f05b53`.
📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
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} | # What does this PR do ?
Fix the model configs for performance
# Changelog
- Enable RoPE fusion in the nemotron baseline config
- Enable `sequence_parallel` in nemotron4 15B config that uses TP>1
- Add `tp_only_amax_red=False` in GPT config
# Usage
n/a
# GitHub Actions CI
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NeMo intermittent start-up failure with OMPI temp directory error.
**Steps/Code to reproduce bug**
* Launch multinode NeMo training job on k8s with privilege mode without HostPID
* Observe that in about 3~4% of the time, NeMo job fails to launch with error:
```
ERROR 2024-11-13T14:41:01.1148292... | null | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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Does llama31 not pack embedding into nemo file?
Generated
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📝 Please remember the following to-do's before merge:
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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Fixes a minor bug deploying trt-llm models
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📝 Please remember the following to-do's before merge:
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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we've cherry picked #11709 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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This PR fixes the bug which was noticed during the usage of tutorials/tools/NeMo_Forced_Aligner_Tutorial.ipynb
**Collection**: [ASR]
**PR Type**:
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- [x] Bugfix
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Speaker Diarization documents.
`tutorial/speaker_tasks/End_to_end_Diarization_Training.ipynb`
`tutorial/speaker_tasks/End_to_end_Diarization_Inference.ipynb`
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llama3 pre-training recipes with performance optimizations
**Collection**: [llm]
# Changelog
- Add specific line by line info of high level changes in this PR.
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