renwei2024/nemo-github-issues huggingface dataset:
Add vlm generation function
State: closed | Pull request: yes
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@yaoyu-33 Do we need to modify [mllama_generate.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/vlm/mllama_generate.py) to use new generate function?

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Fix TRTLLM nemo2 activation parsing
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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fix: Resolve mutable default issue in MultiModalSampleConfig dataclass
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Labels: name: Multi Modal

name: Run CICD

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Breakout get_checkpoint from AutoResume
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name: Run CICD

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fix model_checkpoint.py
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

support the case where monitor is the last metric in checkpoint name. for example 'global_step=1000'

# Usage
* You can potentially add a usage example below

```python
                run.Config(
                    ModelCheckpoint,
                    monitor='global_step',
                    filename='{global_step}',
                    every_n_train_steps=1000,
                    save_top_k=3,
                    mode='max',
                )
```


after fix: 
```
 0: [NeMo I 2024-10-28 01:06:24 model_checkpoint:310] Removed distributed checkpoint: nemo_experiments/default/checkpoints/global_step=70999.0
 0: [NeMo I 2024-10-28 01:06:24 model_checkpoint:310] Removed distributed checkpoint: nemo_experiments/default/checkpoints/global_step=71999.0
 0: [NeMo I 2024-10-28 01:06:24 model_checkpoint:310] Removed distributed checkpoint: nemo_experiments/default/checkpoints/global_step=72999.0
 0: [NeMo I 2024-10-28 01:06:24 model_checkpoint:310] Removed distributed checkpoint: nemo_experiments/default/checkpoints/global_step=73999.0
 0: [NeMo I 2024-10-28 01:06:24 model_checkpoint:310] Removed distributed checkpoint: nemo_experiments/default/checkpoints/global_step=74999.0
 ```


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PEFT perf fixes (cherrypick 11070)
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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lora perf fixes
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: CI

name: common

name: Multi Modal

name: audio

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Bump `Dockerfile.ci` (2024-10-28)
State: closed | Pull request: yes
Labels: name: Run CICD

🚀 PR to Bump `Dockerfile.ci`.  

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Fix timestamps tests
State: closed | Pull request: yes
Labels: name: ASR

name: Run CICD

# What does this PR do ?

Fix CTC and RNNT decoding timestamps tests to take into account empty texts that can predicted by dummy decoder during the test.

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ci: Fix cron
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Bump `Dockerfile.ci` (2024-10-27)
State: closed | Pull request: yes
Labels: name: Run CICD

🚀 PR to Bump `Dockerfile.ci`.  

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Add copyright notice
State: closed | Pull request: yes
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name: ASR

name: NLP

name: common

name: Multi Modal

name: Run CICD

Add copyright notices

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Add copyright check
State: closed | Pull request: yes
Labels: name: CI

Add copyright check

Sample execution #1 (expected to fail):
https://github.com/NVIDIA/NeMo/actions/runs/11563980809/job/32188323290?pr=11048


Sample execution (with more files with issues prior to change)  #2 (expected to fail): https://github.com/NVIDIA/NeMo/actions/runs/11528195110/job/32094993197?pr=11048


After copyright notices were added, the copyright check rightfully passes
https://github.com/NVIDIA/NeMo/actions/runs/11564887593/job/32190934995?pr=11048

Sample execution:
https://github.com/NVIDIA/NeMo/actions/runs/11563980809/job/32188323290?pr=11048


Sample execution (with more files with issues prior to change): https://github.com/NVIDIA/NeMo/actions/runs/11528195110/job/32094993197?pr=11048

After copyright notices were added, the copyright check rightfully passes
https://github.com/NVIDIA/NeMo/actions/runs/11564887593/job/32190934995?pr=11048

Changes do not affect CI , so wont run CI
Performance fine-tuning recipes for llama3 8b + 70b
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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[Doc fixes] update file names, installation instructions, bad links
State: closed | Pull request: yes
Labels: name: TTS

name: stale

name: ASR

name: NLP

name: Multi Modal

# What does this PR do ?

Small docs fixes


**Collection**:  Docs
# Changelog 
- update name of file referenced in `docs/source/asr/asr_language_modeling_and_customization.rst`
- replace out of date NeMo installation instrucitons with pointer to Installation page in user guide
- fix bad links

# Usage
N/A

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This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.
Cherry pick `PEFT Inference (11030)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @cuichenx 👋,<br><br>we've cherry picked #11030 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
[Cherrypick #10957 #11006] Packed seq recipes
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

* add packed seq recipes



* Apply isort and black reformatting



* extraneous prefix



* Apply isort and black reformatting



---------






(cherry picked from commit 26ba6bd8d92f3bdff2343b7986e41dc5902089bf)

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Fix CPU ASR tests
State: closed | Pull request: yes
Labels: name: core

name: ASR

name: Run CICD

# What does this PR do ?

Fix ASR tests on CPU when GPU driver is unavailable.

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Merged in https://github.com/NVIDIA/NeMo/pull/11035
[Bug fix] In energon MultiModalSampleConfig use default_factory in dataclass
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

# What does this PR do ?

Use default_factory to provide default value in dataclass in energon MultiModalSampleConfig. 

Because python3.12 dataclass type doesn't allow using mutable values as default of dataclass fields.

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NeMorun for NeMo 2.0 T5 finetuning
State: closed | Pull request: yes
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[🤖]: Hi @huvunvidia 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11578583956) for this PR just finished successfully

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Cherrypick Fix _strategy_lib tests (#11033)
State: closed | Pull request: yes
Labels: name: Run CICD

* fix world size and don't mock



* cleanup global state



* check app state instead



* fix syntax nemo logger test



---------

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CI passed: https://github.com/NVIDIA/NeMo/actions/runs/11520384080
ci: Re-add secrets detector
State: closed | Pull request: yes
Labels: name: CI

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Gemma2 in Nemo2 with Recipes
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

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[🤖]: Hi @suiyoubi 👋,

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Set TE spec name for NeMo to HF checkpoint converters
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Currently the NeMo to HF Checkpoint converters assume the gpt model is restored with Transformer engine spec but it is possible `model_config.name` is set to something else. For example for pruning, distillation, quantization the spec used is `modelopt`. In such cases the script will fail. Hence setting spec name as `te_gpt` when loading the model in the checkpoint converters.

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ci: Switch to CPU only runner
State: closed | Pull request: yes
Labels: name: core

name: ASR

name: CI

name: Run CICD

# What does this PR do ?

To do's:

- [ ] Rename `test-cpu-runner` to `azure-self-hosted-cpu`
- [ ] Merge
- [ ] Rename runner label
- [ ] Remove cpu label from gpu runners

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[🤖]: Hi @ko3n1g 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11525091191) for this PR just finished successfully

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Cherry pick `Update `BaseMegatronSampler` for compatibility with PTL's `_BatchProgress` (11016)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @ashors1 👋,<br><br>we've cherry picked #11016 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Fix _strategy_lib tests
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Fixes model parallel init tests.

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# Changelog 
- run nemo model parallel init in test instead of mocking
- make assertions on app state
- destroy MCore global state and nemo app state

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Change dist ckpt defaults (#10913)
State: closed | Pull request: yes
Labels: name: Run CICD

Cherrypick #10913 



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PEFT Inference
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Add adapter support to llm.generate

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```python
# In llm.generate, simply replace base model checkpoint with adapter checkpoint
# The adapter checkpoint contains a reference to the base model it is trained on, so 
# there is no need to specify the base model checkpoint
api.generate(
    path="/path/to/peft/checkpoint",
    ...
)
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