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Fixing quantization issues based on more extensive tests:
- model configured with `megatron_amp_O2: true`
- model w/o artifacts
- model using HF tokenizer
- remove broken "pileval" dataset
**Collection**: NLP
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} | # What does this PR do ?
bug fix for embeddings model
**Collection**: [NLP]
# 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 demonstrating how to use this
```
# Jenkins CI
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1) when registering an IA3 mixin with an MoE layer it only runs on the MLP parts.
2) small change in `MCoreMLPMixin` forward to accomodate for when `linear_fc1` is not a TE layer.
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Enable 1) data shuffling for packed sequence dataset, and
2) packed sequence with normal attention kernel (no `thd` attention) for certain benchmarking applications
**Collection**: NLP
# Usage
Data shuffling is automatically enabled.
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Pending Mcore
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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I got a sft gpt .nemo model, and I am trying to run the inference script at examples/nlp/language_modeling/tuning/megatron_gpt_generate.py
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Open sourcing the export and deploy module that exports a nemo checkpoint to TensorRT-LLM and serves it using PyTriton.
**Collection**: [None]
# Changelog
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# Usage
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Update the multimodal/speech_cv branch to support audio-visual speech recognition (CTC, RNN-T and Hybrid)
**Collection**: [multimodal/speech_cv]
# Changelog
- Update speech_cv branch
- bug fix
- Add audio-visual datasets
- Add audio-visual models: (AudioVisualEncDecCTCModelBPE, Au... | {
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I am training `examples/asr/asr_hybrid_transducer_ctc/speech_to_text_hybrid_rnnt_ctc_bpe.py`.
I cannot run the inference obtaining the following exception:
```
Error executing job with overrides: ['model_path=results/UZB_MCV_ISSAI_V2/2024-03-15_16-25-00/checkpoints/UZB_MCV_ISSAI_V2.[8/1287$... | {
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Support ChatGLM2&ChatGLM3
**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
### Model conversion from HuggingFace to nemo
```
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Various docs fixes: typos, changing urls to relative links
**Collection**: Docs
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Update dataclass instantiation to support python 3.11
**Collection**: [ASR]
# Changelog
- Update the field init for internal config of transcription for Classification and AED models
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
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I am trying to run `examples/asr/speech_to_text_eval.py` , but obtaining exception.
This happens on different branches: main, r1.22.0, r1.21.0 etc.
**Steps/Code to reproduce bug**
python examples/asr/speech_to_text_eval.py model_path=../results/KZ_MCV_ISSAI_V2/2024-03-15_16-25-00/chec... | {
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Add script for packed sequence data preparation. The feature of sequence packing was added in #7945
**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 usa... | {
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} | # What does this PR do ?
TransformerEngine and MCORE interface change to support TP ReduceScatter overlap with send/recv.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Change the argument names of LayerNormLinear and Linear modules to TE and MCORE modules.
# Usage
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injecting text_field when not present in manifest in AED models transcribe fn
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Update embedded HF space to be Canary - forgot to update this link in https://github.com/NVIDIA/NeMo/pull/8671
**Collection**: Docs
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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fixes bug introduced by #8622
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Update PEFT doc
**Collection**: [Note which collection this PR will affect]
# Changelog
- Mention support for all linear layers (#7988)
- Update support matrix to include Gemma and Starcoder
# Usage
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} | # What does this PR do ?
Fixes [issue 8577](https://github.com/NVIDIA/NeMo/issues/8577) by appending `CustomProgressBar` to the callbacks when `enable_progress_bar` is not passed to the trainer in which case the progress bar is enabled by default or when `enable_progress_bar` is explicitly passed as True.
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Previously it only generates but does not store.
- Test on Parakeet
```
python \
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Passes the argument to persist the workers for the dataloader when num_workers>1
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Enable pipeline parallelism (PP) for p-tuning.
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Adds distributed checkpointing to bert
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# Changelog
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# Usage
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"@P15V make sure that there are no line breaks between the curly brackets. I believe this will solve your error\r\n\r\nnemo manifests despite being saved as .json are a bit fiddly at times and cannot be directly loaded in via the json package. **each line within the manifest should be a complete json string**.\r\n\... | 2024-03-13T19:49:42 | 2024-05-09T13:15:44 | 2024-04-22T01:45:25 | NONE | {
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} | null | null | null | Hello all, hope all is well with whoever is reading this!!
I'm very excitedly trying to run a simple inference with this new Canary-1b model that advertises a lower WER than the large whisper model.
Unfortunately, not one thing I am trying is working so far.
I'm going off the Nvidia website directions:
ht... | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-03-13T17:58:03 | 2024-04-22T01:45:27 | 2024-04-22T01:45:27 | NONE | {
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} | null | null | null | Hi! I am trying to follow the NeMo tutorial titled "ASR_with_Nemo"
https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/ASR_with_NeMo.ipynb
I am working on a conda environment following the same setting for the dependencies as in the NeMo GitHub repository. I prepared the manifest files for the an4 dataset foll... | {
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"This is reverting the mcore dataset integration. I don't think we want to merge this to main.",
"Closing as we'll be fixing MCore instead."
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} | # What does this PR do ?
Avoids training throughput regression from using `BlendedMegatronDatasetBuilder` by reverting back to using NeMo's `build_train_valid_test_datasets`.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially a... | {
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} | # What does this PR do ?
1. Mcore dataset updates.
2. Support the option of not mmap-ing .bin files and instead using file pointers instead to support very large datasets.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this P... | {
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] | 2024-03-13T01:57:56 | 2024-04-20T01:44:23 | 2024-04-20T01:44:22 | NONE | {
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} | null | null | null | **Describe the bug**
i am trying to run the GPT2 PEFT finetuning on GPT2 models. I try to convert my TP=1 .nemo file to TP=2 .nemo file using megatron_change_num_partitions. However, when I try to load the checkpoints from the .nemo file i get the following error.
A clear and concise description of what the bug is.... | {
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} | # What does this PR do ?
Adds a command-line flag to megatron_ckpt_to_nemo.py which enables writing output as loose files instead of a .nemo archive.
**Collection**: nlp
# Changelog
- Adds `--no_pack_nemo_file` argument to megatron_ckpt_to_nemo.py
- If passed, `pack_nemo_file` is set to false in the NLPSave... | {
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"@aditya-malte @yaoyu-33 I see the tests are passed here, is there still issues with imports?",
"jenkins"
] | 2024-03-12T23:13:45 | 2024-03-13T22:43:59 | 2024-03-13T22:43:59 | CONTRIBUTOR | {
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} | Hi,
Currently, the MegatronSBERT model cannot run inference. Essentially, a user may not be able to simply load a trained .nemo checkpoint and run inference (forward()) function on it.
This patch adds a try/except block to handle cases where training data is not specified
# What does this PR do ?
Add a one li... | {
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"@titu1994 the change is tested on my local, please fast merge if possible, hope it goes into the nemo2.0 branch"
] | 2024-03-12T19:20:16 | 2024-03-12T19:31:06 | 2024-03-12T19:31:06 | COLLABORATOR | {
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} | # What does this PR do ?
Fix for relative file paths when presort_manifest==True
**Collection**: [asr]
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Gemma uses `gelu` approx version from openai
# 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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# Add a code snippet demonstrating how to use this
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When running the tutorial to train a FastPitch model with an adapter (https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_Adapter_Finetuning.ipynb), I get the error `EOFError: Caught EOFError in DataLoader worker process 0` when starting the step that does the model training. Follow... | {
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This PR adapts LLaVA's evaluation pipeline leveraging GPT-4 as a judge, but uses NeMo NGC 8xMixtral-7B model as judge.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Change `answer_only_loss` in inference config files to True to match with the corresponding training config file (e.g. "megatron_gpt_finetuning_config.yaml").
This ensures that loss calculated during training matches with that of evaluation, when using the default config.
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# What does this PR do ?
Adjusts tutorial copy to suggest container, and clarifies paths
# Changelog
- adjusted tutorial copy for pre-training example in documentation
# Jenkins CI
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"This issue seems to be fixed when `nemo/collections/tts/models/fastpitch.py:842` is changed to:\r\n\r\n> def input_example(self, max_batch=**44**, max_dim=44):\r\n\r\nDon't know if... | 2024-03-11T09:51:37 | 2024-05-18T01:45:27 | 2024-05-18T01:45:27 | NONE | {
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I tried to export FastPitch model to PyTorch but failed with a following error. It happens with all EN models `tts_en_fastpitch_ipa`, `tts_en_fastpitch`, and `tts_en_fastpitch_multispeaker`.
**Steps/Code to reproduce bug**
I tried the same code with all the models, just changing a model l... | {
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Add Vietnamese into tokenizer package
Add a one line overview of what this PR aims to accomplish.
Define and set all of this(Vietnamese's alphabet, symbols, punctuations, tildes, phonemes) properties
# Changelog
tts_tokenizers.py
ipa_lexicon.py
tokenizer_utils.py
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Using `nemo-toolkit==1.23.0` and `megatron-core==0.5.0` will give the following error.
```
\ File \"/opt/conda/lib/python3.10/site-packages/megatron/core/parallel_state.py\"\
, line 615, in get_tensor_and_expert_parallel_group\n _TENSOR_AND_EXPERT_PARALLEL_GROUP\
\ is... | {
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Add Vietnamese into tokenizer package
Add a one line overview of what this PR aims to accomplish.
Define and set all of this(Vietnamese's alphabet, symbols, punctuations, tildes, phonemes) properties
# Changelog
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ipa_lexicon.py
tokenizer_utils.py
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} | # What does this PR do ?
Uses PEFT for learning a embedding model for queries and documents.
**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
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} | # What does this PR do ?
Fix a bug from #8602 that broke LoRA SP for attention_dense module.
Also fix a bug where linear_fc1 mistakenly took hidden states before layernorm as input.
Now LoRA SP work for all linear layers, with minimal communication overhead.
**Collection**: [Note which collection this PR wil... | {
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# What does this PR do ?
Adds several unit tests to #8477
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added several unit tests to verify the lhotse dataloader works as expected
- Rearranged conversion script so it can be reused to run existing tests
# Usage
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# What does this PR do ?
Fixes gpt mcore conversion to account for _extra_state that may be present
**Collection**: [Note which collection this PR will affect]
# Changelog
In the 24.01 container, the following:
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Add Vietnamese into tokenizer package
Add a one line overview of what this PR aims to accomplish.
Define and set all of this (Vietnamese's alphabet, symbols, punctuations, tildes, phonemes) properties
# Changelog
tts_tokenizers.py
ipa_lexicon.py
tokenizer_utils.py
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} | # What does this PR do ?
This PR enables the inference of pipeline parallel fine-tuned language models using the `megatron_gpt_generate.py` script. Middle stages during pipeline parallel are expected to have no output during the response generation. We handle this case in the PR to enable evaluation of SFT and PEFT ... | {
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} | # What does this PR do ?
current code for canary long-form transcription adds "none" before every segment.
**Collection**: [ASR]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Restore CUDA Graphs support for SD.
**Collection**: multimodal
# Changelog
- Update in the CUDA Graph callback to align changes in PL API.
- `MegatronLatentDiffusion.training_step` accepts `batch` input instead of `dataloader_iter` so CUDA Graphs are supported.
- Remove circular de... | {
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This PR enables the inference of pipeline parallel fine-tuned language models using the `megatron_gpt_generate.py` script. Middle stages during pipeline parallel are expected to have no output during the response generation. We handle this case in the PR to enable evaluation of SFT and PEFT ... | {
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"Woops, i fast merged, @pzelasko if you need any changes let me know I'll revert ",
"looks good :) "
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} | # What does this PR do ?
Bug fix in transcribe_speech.py: temp manifest file was deleted before calling writing predictions.
**Collection**: [ASR]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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Based on https://github.com/NVIDIA/Megatron-LM/pull/723, this PR aims to make user-set timeout applicable to all ProcessGroups instead of just default ProcessGroups
**Collection**: [Note which collection this PR will affect]
# Changelog
During model parallel initialization, it will p... | {
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Set num of eval samples as 1 for float `limit_val_batches` only when the data_prefix contains single prefix, since otherwise it can lead to no validation.
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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"Your config seems to be for a hybrid model, not CTC. You'll need to use this instead - https://github.com/NVIDIA/NeMo/blob/main/examples/asr/asr_hybrid_transducer_ctc/speech_to_text_hybrid_rnnt_ctc_bpe.py"
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I am trying to run a train process of fastconformer_hybrid_transducer_ctc_bpe_streaming, but obtaining an error
```
omegaconf.errors.ConfigKeyError: Key 'num_classes' is not in struct
full_key: decoder.num_classes
object_type=dict
```
**Steps/Code to reproduce bug**
`OC_CAUS... | {
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} | # What does this PR do ?
Multimodal retriever (CLIP score fusion model & training)
**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 ... | {
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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
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aligner models have no val dataloader, so we need not to reconfigure val micro batches
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in exp manager we move files on rank0, but this move is not always completed by the time the other ranks go and do other things such as try to run `ls` on the file system. So this adds a sync to make sure
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} | # What does this PR do ?
Use hook functions in mcore for PEFT logic instead of copy-pasting mcore code.
This prevents any mcore change from propogating to nemo
Also add mcore PEFT CI tests for all models.
Keeping this PR ready to run CI tests. Do not merge until mcore PR is finalized
**Collection**: NLP
#... | {
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} | # What does this PR do ?
Get gathered output from TE layernorm to prevent the redundant gather in parallel adapter. This improves the performance of LoRA SP.
Corresponding TE PR: https://github.com/NVIDIA/TransformerEngine/pull/697
**Collection**: NLP
# Changelog
- Add specific line by line info of high lev... | {
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at the end of the page after crating NeMoGPTv2 class try to create a model :
`model = NeMoGPTv2(cfg=cfg.model)`
facing the following error :
```
File "/home/shabs/anaconda3/envs/NeMo/lib/python3.11/site-packages/IPython/core/interactiveshell.... | {
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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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"It was resolved. The issue was Using PyCharm IDE. The latest update on PyCharm resolve the issue."
] | 2024-03-06T10:11:49 | 2024-03-06T12:55:47 | 2024-03-06T12:55:47 | NONE | {
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I am trying to use NeMo. As part of the Model example try to work with config :
`from omegaconf import MISSING
#example:
common_config = OmegaConf.create({
'vocab_size': MISSING,
'block_size': MISSING,
'n_layer': MISSING,
'n_embd': MISSING,
'n_head': MISSING,
})`
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**Collection**: [Note which collection this PR will affect]
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