diff --git a/pyproject.toml b/pyproject.toml
index e8e3e2de..c9ee498f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,6 +48,7 @@ docs = [
     "pillow>=10.0.0",
     "cairosvg>=2.7.1"
 ]
+hf = ["huggingface-hub>=0.20.0"]
 zarr_conversion = [
     "fire>=0.5.0",
     "numcodecs>=0.16.3",
diff --git a/src/electrai/callbacks/__init__.py b/src/electrai/callbacks/__init__.py
new file mode 100644
index 00000000..9d84fafb
--- /dev/null
+++ b/src/electrai/callbacks/__init__.py
@@ -0,0 +1,5 @@
+from __future__ import annotations
+
+from electrai.callbacks.hf_upload import HuggingFaceCallback
+
+__all__ = ["HuggingFaceCallback"]
diff --git a/src/electrai/callbacks/hf_upload.py b/src/electrai/callbacks/hf_upload.py
new file mode 100644
index 00000000..b8ec2e20
--- /dev/null
+++ b/src/electrai/callbacks/hf_upload.py
@@ -0,0 +1,182 @@
+from __future__ import annotations
+
+import json
+import logging
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+from lightning.pytorch.callbacks import Callback
+
+if TYPE_CHECKING:
+    from types import SimpleNamespace
+
+logger = logging.getLogger(__name__)
+
+MANIFEST_FILENAME = "hf_upload_manifest.json"
+
+
+class HuggingFaceCallback(Callback):
+    """Tracks saved checkpoints for deferred upload to HuggingFace Hub.
+
+    On clusters without internet (e.g. Princeton Della), checkpoints are
+    queued in a JSON manifest and uploaded later via ``electrai hf-push``.
+    When ``hf.upload_immediate`` is True, uploads are attempted inline
+    (failures are logged but never crash training).
+    """
+
+    def __init__(self, cfg: SimpleNamespace) -> None:
+        super().__init__()
+        hf = cfg.hf
+        self.repo_id: str = hf["repo_id"]
+        self.every_n_epochs: int = hf.get("upload_every_n_epochs", 5)
+        self.upload_immediate: bool = hf.get("upload_immediate", False)
+        self.ckpt_path = Path(getattr(cfg, "ckpt_path", "./checkpoints"))
+        self.manifest_path = self.ckpt_path / MANIFEST_FILENAME
+        self._manifest: list[dict] = []
+        self._load_existing_manifest()
+
+    def _load_existing_manifest(self) -> None:
+        if self.manifest_path.exists():
+            with self.manifest_path.open(encoding="utf-8") as f:
+                self._manifest = json.load(f)
+
+    def _save_manifest(self) -> None:
+        self.ckpt_path.mkdir(parents=True, exist_ok=True)
+        with self.manifest_path.open("w", encoding="utf-8") as f:
+            json.dump(self._manifest, f, indent=2)
+
+    def _queue_checkpoint(
+        self, ckpt_file: Path, epoch: int | None, *, path_in_repo: str | None = None
+    ) -> None:
+        entry = {
+            "path": str(ckpt_file),
+            "path_in_repo": path_in_repo or ckpt_file.name,
+            "epoch": epoch,
+            "repo_id": self.repo_id,
+            "uploaded": False,
+        }
+        self._manifest.append(entry)
+        self._save_manifest()
+        logger.info("Queued checkpoint for HF upload: %s", ckpt_file.name)
+
+    def on_validation_end(self, trainer, pl_module) -> None:  # noqa: ARG002
+        if trainer.sanity_checking:
+            return
+        epoch = trainer.current_epoch
+        if (epoch + 1) % self.every_n_epochs != 0:
+            return
+        if trainer.global_rank != 0:
+            return
+
+        # Save the current state to a stable epoch-specific file. This is
+        # independent of ModelCheckpoint's last.ckpt (which Lightning reorders
+        # to run after us in this hook, so last.ckpt would still be stale).
+        stable_name = f"last_epoch{epoch + 1:03d}.ckpt"
+        stable_path = self.ckpt_path / stable_name
+        trainer.save_checkpoint(stable_path)
+
+        self._queue_checkpoint(stable_path, epoch, path_in_repo=stable_name)
+
+        if self.upload_immediate:
+            _upload_single(self._manifest[-1])
+            if self._manifest[-1]["uploaded"]:
+                stable_path.unlink(missing_ok=True)
+            self._save_manifest()
+
+    def on_train_end(self, trainer, pl_module) -> None:  # noqa: ARG002
+        if trainer.global_rank != 0:
+            return
+        # Queue best checkpoints that haven't been queued yet
+        queued_paths = {e["path"] for e in self._manifest}
+        had_immediate = False
+        for ckpt_file in self.ckpt_path.glob("ckpt_*.ckpt"):
+            if str(ckpt_file) not in queued_paths:
+                self._queue_checkpoint(ckpt_file, epoch=None)
+                if self.upload_immediate:
+                    _upload_single(self._manifest[-1])
+                    had_immediate = True
+        if had_immediate:
+            self._save_manifest()
+
+        pending = sum(1 for e in self._manifest if not e["uploaded"])
+        if pending:
+            logger.info(
+                "%d checkpoint(s) pending upload. "
+                "Run 'electrai hf-push --ckpt-path %s' from a node with "
+                "internet access.",
+                pending,
+                self.ckpt_path,
+            )
+
+
+def _upload_single(entry: dict) -> None:
+    """Attempt to upload a single checkpoint. Logs errors, never raises."""
+    path = Path(entry["path"])
+    try:
+        from huggingface_hub import upload_file
+    except ImportError:
+        logger.warning(
+            "huggingface-hub is not installed. "
+            "Run 'pip install huggingface-hub' to enable uploads."
+        )
+        return
+    try:
+        if not path.exists():
+            logger.warning("Checkpoint file not found, skipping: %s", path)
+            return
+        path_in_repo = entry.get("path_in_repo", path.name)
+        upload_file(
+            path_or_fileobj=str(path),
+            path_in_repo=path_in_repo,
+            repo_id=entry["repo_id"],
+        )
+        entry["uploaded"] = True
+        logger.info("Uploaded %s to %s", path.name, entry["repo_id"])
+    except Exception:
+        logger.warning(
+            "HF upload failed for %s (will retry with hf-push)",
+            path.name,
+            exc_info=True,
+        )
+
+
+def hf_push(ckpt_path: str, *, clean: bool = False) -> None:
+    """Upload pending checkpoints from a manifest file.
+
+    Run this from a login node or machine with internet access.
+    """
+    try:
+        import huggingface_hub  # noqa: F401
+    except ImportError as e:
+        raise SystemExit(
+            "huggingface-hub is not installed. "
+            "Run 'uv sync --extra hf' to enable uploads."
+        ) from e
+
+    ckpt_dir = Path(ckpt_path)
+    manifest_path = ckpt_dir / MANIFEST_FILENAME
+    if not manifest_path.exists():
+        raise SystemExit(f"No manifest found at {manifest_path}")
+
+    with manifest_path.open(encoding="utf-8") as f:
+        manifest = json.load(f)
+
+    pending = [e for e in manifest if not e["uploaded"]]
+    if not pending:
+        logger.info("All checkpoints already uploaded.")
+        return
+
+    logger.info("Uploading %d pending checkpoint(s)...", len(pending))
+    for entry in pending:
+        _upload_single(entry)
+        if clean and entry["uploaded"]:
+            Path(entry["path"]).unlink(missing_ok=True)
+
+    with manifest_path.open("w", encoding="utf-8") as f:
+        json.dump(manifest, f, indent=2)
+
+    still_pending = sum(1 for e in manifest if not e["uploaded"])
+    if still_pending:
+        logger.warning("%d checkpoint(s) still failed to upload.", still_pending)
+    else:
+        logger.info("All checkpoints uploaded successfully.")
diff --git a/src/electrai/configs/MP/config_resnet.yaml b/src/electrai/configs/MP/config_resnet.yaml
index 58938fa3..834ba84d 100644
--- a/src/electrai/configs/MP/config_resnet.yaml
+++ b/src/electrai/configs/MP/config_resnet.yaml
@@ -43,6 +43,12 @@ wb_pname: mp-experiment
 # checkpoints
 ckpt_path: ./checkpoints
 
+# HuggingFace Hub (optional — install with `uv sync --extra hf`)
+# hf:
+#   repo_id: your-username/your-repo  # must already exist on HF
+#   upload_every_n_epochs: 5
+#   upload_immediate: false  # set true on nodes with internet access
+
 # test the model
 # save_pred: true
 # log_dir: ./logs
diff --git a/src/electrai/configs/MP/config_resunet.yaml b/src/electrai/configs/MP/config_resunet.yaml
index a16049cc..7fef6ff4 100644
--- a/src/electrai/configs/MP/config_resunet.yaml
+++ b/src/electrai/configs/MP/config_resunet.yaml
@@ -43,6 +43,12 @@ wb_pname: mp-experiment
 # checkpoints
 ckpt_path: ./checkpoints
 
+# HuggingFace Hub (optional — install with `uv sync --extra hf`)
+# hf:
+#   repo_id: your-username/your-repo  # must already exist on HF
+#   upload_every_n_epochs: 5
+#   upload_immediate: false  # set true on nodes with internet access
+
 # test the model
 # save_pred: true
 # log_dir: ./logs
diff --git a/src/electrai/entrypoints/main.py b/src/electrai/entrypoints/main.py
index 6ccc4725..f8f9e791 100644
--- a/src/electrai/entrypoints/main.py
+++ b/src/electrai/entrypoints/main.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import argparse
+import logging
 
 import torch
 
@@ -23,6 +24,7 @@ def main() -> None:
     RuntimeError
         if no command was input
     """
+    logging.basicConfig(level=logging.INFO)
     parser = argparse.ArgumentParser(description="Electrai Entry Point")
     subparsers = parser.add_subparsers(dest="command", required=True)
 
@@ -32,14 +34,28 @@ def main() -> None:
     test_parser = subparsers.add_parser("test", help="Evaluate the model")
     test_parser.add_argument("--config", type=str, required=True)
 
+    hf_push_parser = subparsers.add_parser(
+        "hf-push", help="Upload pending checkpoints to HuggingFace Hub"
+    )
+    hf_push_parser.add_argument(
+        "--ckpt-path", type=str, required=True, help="Path to checkpoint directory"
+    )
+    hf_push_parser.add_argument(
+        "--clean",
+        action="store_true",
+        help="Delete local checkpoint files after successful upload (includes best-model checkpoints)",
+    )
+
     args = parser.parse_args()
 
     if args.command == "train":
         train(args)
     elif args.command == "test":
         test(args)
-    else:
-        raise ValueError(f"Unknown command: {args.command}")
+    elif args.command == "hf-push":
+        from electrai.callbacks.hf_upload import hf_push
+
+        hf_push(args.ckpt_path, clean=args.clean)
 
 
 if __name__ == "__main__":
diff --git a/src/electrai/entrypoints/train.py b/src/electrai/entrypoints/train.py
index d51d6777..d841519e 100644
--- a/src/electrai/entrypoints/train.py
+++ b/src/electrai/entrypoints/train.py
@@ -58,6 +58,14 @@ def train(args):
 
     lr_monitor = LearningRateMonitor(logging_interval="epoch")
 
+    callbacks = [checkpoint_cb, lr_monitor]
+
+    hf_cfg = getattr(cfg, "hf", None)
+    if hf_cfg and hf_cfg.get("repo_id"):
+        from electrai.callbacks.hf_upload import HuggingFaceCallback
+
+        callbacks.append(HuggingFaceCallback(cfg))
+
     # -----------------------------
     # Trainer
     # -----------------------------
@@ -69,7 +77,7 @@ def train(args):
     trainer = Trainer(
         max_epochs=int(cfg.epochs),
         logger=wandb_logger,
-        callbacks=[checkpoint_cb, lr_monitor],
+        callbacks=callbacks,
         accelerator="gpu" if torch.cuda.is_available() else "cpu",
         precision=cfg.precision,
         devices="auto",
diff --git a/uv.lock b/uv.lock
index f7d606fa..624e21dc 100644
--- a/uv.lock
+++ b/uv.lock
@@ -161,6 +161,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fb/76/641ae371508676492379f16e2fa48f4e2c11741bd63c48be4b12a6b09cba/aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e", size = 7490, upload-time = "2025-07-03T22:54:42.156Z" },
 ]
 
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -176,6 +185,19 @@ version = "4.9.3"
 source = { registry = "https://pypi.org/simple" }
 sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034, upload-time = "2021-11-06T17:52:23.524Z" }
 
+[[package]]
+name = "anyio"
+version = "4.12.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
+]
+
 [[package]]
 name = "attrs"
 version = "25.4.0"
@@ -747,6 +769,9 @@ docs = [
     { name = "mkdocstrings", extra = ["python"] },
     { name = "pillow" },
 ]
+hf = [
+    { name = "huggingface-hub" },
+]
 zarr-conversion = [
     { name = "fire" },
     { name = "numcodecs" },
@@ -766,6 +791,7 @@ dev = [
 requires-dist = [
     { name = "cairosvg", marker = "extra == 'docs'", specifier = ">=2.7.1" },
     { name = "fire", marker = "extra == 'zarr-conversion'", specifier = ">=0.5.0" },
+    { name = "huggingface-hub", marker = "extra == 'hf'", specifier = ">=0.20.0" },
     { name = "hydra-core", specifier = ">=1.3.2" },
     { name = "lightning", specifier = "~=2.5.6" },
     { name = "mkdocs-gen-files", marker = "extra == 'docs'", specifier = ">=0.5.0" },
@@ -789,7 +815,7 @@ requires-dist = [
     { name = "zarr", specifier = ">=3.1.3" },
     { name = "zarr", marker = "extra == 'zarr-conversion'", specifier = ">=3.1.3" },
 ]
-provides-extras = ["dev", "docs", "zarr-conversion"]
+provides-extras = ["dev", "docs", "hf", "zarr-conversion"]
 
 [package.metadata.requires-dev]
 dev = [
@@ -1035,6 +1061,95 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2a/b1/9ff6578d789a89812ff21e4e0f80ffae20a65d5dd84e7a17873fe3b365be/griffe-1.14.0-py3-none-any.whl", hash = "sha256:0e9d52832cccf0f7188cfe585ba962d2674b241c01916d780925df34873bceb0", size = 144439, upload-time = "2025-09-05T15:02:27.511Z" },
 ]
 
+[[package]]
+name = "h11"
+version = "0.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
+]
+
+[[package]]
+name = "hf-xet"
+version = "1.4.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/09/08/23c84a26716382c89151b5b447b4beb19e3345f3a93d3b73009a71a57ad3/hf_xet-1.4.2.tar.gz", hash = "sha256:b7457b6b482d9e0743bd116363239b1fa904a5e65deede350fbc0c4ea67c71ea", size = 672357, upload-time = "2026-03-13T06:58:51.077Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/06/e8cf74c3c48e5485c7acc5a990d0d8516cdfb5fdf80f799174f1287cc1b5/hf_xet-1.4.2-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ac8202ae1e664b2c15cdfc7298cbb25e80301ae596d602ef7870099a126fcad4", size = 3796125, upload-time = "2026-03-13T06:58:33.177Z" },
+    { url = "https://files.pythonhosted.org/packages/66/d4/b73ebab01cbf60777323b7de9ef05550790451eb5172a220d6b9845385ec/hf_xet-1.4.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6d2f8ee39fa9fba9af929f8c0d0482f8ee6e209179ad14a909b6ad78ffcb7c81", size = 3555985, upload-time = "2026-03-13T06:58:31.797Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/e7/ded6d1bd041c3f2bca9e913a0091adfe32371988e047dd3a68a2463c15a2/hf_xet-1.4.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4642a6cf249c09da8c1f87fe50b24b2a3450b235bf8adb55700b52f0ea6e2eb6", size = 4212085, upload-time = "2026-03-13T06:58:24.323Z" },
+    { url = "https://files.pythonhosted.org/packages/97/c1/a0a44d1f98934f7bdf17f7a915b934f9fca44bb826628c553589900f6df8/hf_xet-1.4.2-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:769431385e746c92dc05492dde6f687d304584b89c33d79def8367ace06cb555", size = 3988266, upload-time = "2026-03-13T06:58:22.887Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/82/be713b439060e7d1f1d93543c8053d4ef2fe7e6922c5b31642eaa26f3c4b/hf_xet-1.4.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c9dd1c1bc4cc56168f81939b0e05b4c36dd2d28c13dc1364b17af89aa0082496", size = 4188513, upload-time = "2026-03-13T06:58:40.858Z" },
+    { url = "https://files.pythonhosted.org/packages/21/a6/cbd4188b22abd80ebd0edbb2b3e87f2633e958983519980815fb8314eae5/hf_xet-1.4.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:fca58a2ae4e6f6755cc971ac6fcdf777ea9284d7e540e350bb000813b9a3008d", size = 4428287, upload-time = "2026-03-13T06:58:42.601Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/4e/84e45b25e2e3e903ed3db68d7eafa96dae9a1d1f6d0e7fc85120347a852f/hf_xet-1.4.2-cp313-cp313t-win_amd64.whl", hash = "sha256:163aab46854ccae0ab6a786f8edecbbfbaa38fcaa0184db6feceebf7000c93c0", size = 3665574, upload-time = "2026-03-13T06:58:53.881Z" },
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