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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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# Contributing To NeMo VFM
# Contributing To NeMo DFM

## Signing Your Work

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12 changes: 6 additions & 6 deletions README.md
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# NeMo VFM: video foundation model collection
# NeMo DFM: video foundation model collection

NeMo VFM is a state-of-the-art framework for fast, large-scale training and inference of video world models. It unifies the latest diffusion-based and autoregressive techniques, prioritizing efficiency and performance from research prototyping to production deployment.
NeMo DFM is a state-of-the-art framework for fast, large-scale training and inference of video world models. It unifies the latest diffusion-based and autoregressive techniques, prioritizing efficiency and performance from research prototyping to production deployment.

## Projects

This collection consists of 4 projects:
1. [Scalable diffusion training framework](nemo_vfm/diffusion/readme.rst)
2. [Accelerated diffusion world models](nemo_vfm/physicalai/Cosmos/cosmos1/models/diffusion/README.md)
3. [Accelerated autoregressive world models](nemo_vfm/physicalai/Cosmos/cosmos1/models/autoregressive/README.md)
4. [Sparse attention for efficient diffusion inference](nemo_vfm/sparse_attention/README.md)
1. [Scalable diffusion training framework](nemo_dfm/diffusion/readme.rst)
2. [Accelerated diffusion world models](nemo_dfm/physicalai/Cosmos/cosmos1/models/diffusion/README.md)
3. [Accelerated autoregressive world models](nemo_dfm/physicalai/Cosmos/cosmos1/models/autoregressive/README.md)
4. [Sparse attention for efficient diffusion inference](nemo_dfm/sparse_attention/README.md)

## Citations

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4 changes: 2 additions & 2 deletions docs/conf.py
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# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information

project = "NeMo VFM"
project = "NeMo DFM"
copyright = "2025, NVIDIA Corporation"
author = "NVIDIA Corporation"
release = "0.1.0"
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sys.path.insert(0, os.path.abspath(".."))

autodoc2_packages = [
"../nemo_vfm", # Path to your package relative to conf.py
"../nemo_dfm", # Path to your package relative to conf.py
]
autodoc2_render_plugin = "myst" # Use MyST for rendering docstrings
autodoc2_output_dir = "apidocs" # Output directory for autodoc2 (relative to docs/)
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2 changes: 1 addition & 1 deletion docs/project.json
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{"name": "nemo-vfm", "version": "0.1.0"}
{"name": "nemo-dfm", "version": "0.1.0"}
2 changes: 1 addition & 1 deletion nemo_vfm/__init__.py → nemo_dfm/__init__.py
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from nemo_vfm.package_info import (
from nemo_dfm.package_info import (
__contact_emails__,
__contact_names__,
__description__,
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10 changes: 5 additions & 5 deletions nemo_vfm/package_info.py → nemo_dfm/package_info.py
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__shortversion__ = ".".join(map(str, VERSION[:3]))
__version__ = ".".join(map(str, VERSION[:3])) + "".join(VERSION[3:])

__package_name__ = "nemo_vfm"
__package_name__ = "nemo_dfm"
__contact_names__ = "NVIDIA"
__contact_emails__ = "[email protected]"
__homepage__ = "https://github.com/NVIDIA-NeMo/NeMo-VFM"
__repository_url__ = "https://github.com/NVIDIA-NeMo/NeMo-VFM"
__download_url__ = "https://github.com/NVIDIA-NeMo/NeMo-VFM/releases"
__description__ = "NeMo VFM"
__homepage__ = "https://github.com/NVIDIA-NeMo/DFM"
__repository_url__ = "https://github.com/NVIDIA-NeMo/DFM"
__download_url__ = "https://github.com/NVIDIA-NeMo/DFM/releases"
__description__ = "NeMo DFM"
__license__ = "Apache2"
__keywords__ = "deep learning, machine learning, gpu, NLP, pytorch, torch"
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