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NeMo-AutoModel

  • GitHub
NeMo-AutoModel - Home NeMo-AutoModel - Home

NeMo-AutoModel
  • GitHub

Table of Contents

Get Started

  • Introduction to the NeMo Automodel Repository
  • Install NeMo Automodel
  • Run on Your Local Workstation

Announcements

  • Challenges in Enabling PyTorch Native Pipeline Parallelism for Hugging Face Transformer Models
  • Google Gemma 3n: Efficient Multimodal Fine-tuning Made Simple
  • Fine-tune Hugging Face Models Instantly with Day-0 Support with NVIDIA NeMo AutoModel

E2E Examples

  • Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) with NeMo Automodel
  • Pretraining using Megatron-Core Datasets with NeMo Automodel
  • NanoGPT-style Pre-Training with NeMo Automodel
  • Fine-Tune Gemma 3 and Gemma 3n

Model Coverage

  • Large Language Models (LLMs)
  • Vision Language Models (VLMs)

Datasets

  • Dataset Overview: LLM and VLM Datasets in NeMo Automodel
  • Integrate Your Own Text Dataset
  • Use the ColumnMappedTextInstructionDataset
  • Integrate Your Own Multi-Modal Dataset

Development

  • Checkpointing in NeMo AutoModel
  • 🚀 Gradient (Activation) Checkpointing in NeMo-AutoModel
  • Pipeline Parallelism with AutoPipeline
  • Knowledge Distillation with NeMo-AutoModel
  • FP8 Training in NeMo Automodel
  • API Reference
    • nemo_automodel
      • nemo_automodel._transformers
        • nemo_automodel._transformers.utils
        • nemo_automodel._transformers.registry
        • nemo_automodel._transformers.auto_model
      • nemo_automodel._diffusers
        • nemo_automodel._diffusers.auto_diffusion_pipeline
      • nemo_automodel.shared
        • nemo_automodel.shared.import_utils
        • nemo_automodel.shared.utils
      • nemo_automodel.components
        • nemo_automodel.components.loggers
        • nemo_automodel.components.moe
        • nemo_automodel.components.config
        • nemo_automodel.components.distributed
        • nemo_automodel.components._peft
        • nemo_automodel.components.optim
        • nemo_automodel.components.checkpoint
        • nemo_automodel.components.quantization
        • nemo_automodel.components.utils
        • nemo_automodel.components.datasets
        • nemo_automodel.components.attention
        • nemo_automodel.components.launcher
        • nemo_automodel.components.models
        • nemo_automodel.components.training
        • nemo_automodel.components.loss

Performance

  • NeMo AutoModel Performance Summary
  • API Reference
  • nemo_automodel
  • nemo_automodel._transformers

nemo_automodel._transformers#

Submodules#

  • nemo_automodel._transformers.utils
  • nemo_automodel._transformers.registry
  • nemo_automodel._transformers.auto_model

Package Contents#

Data#

__all__

API#

nemo_automodel._transformers.__all__#

[‘NeMoAutoModelForCausalLM’, ‘NeMoAutoModelForImageTextToText’, ‘NeMoAutoModelForSequenceClassificat…

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