diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..ee94f05
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+.venv
+model
+Scratchpad.ipynb
+__pycache__
\ No newline at end of file
diff --git a/README.md b/README.md
index 6a13b4a..56b313a 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,16 @@
 # moondream
-tiny vision language model
+
+a tiny vision language model
+
+## project goals
+
+Build a high-quality, low-hallucination vision language model small enough to
+run on an edge device without a GPU.
+
+## moondream0
+
+Initial prototype built using SigLIP, Phi-1.5, and the LLaVa training dataset.
+The model is for research purposes only, and is subject to the Phi and LLaVa
+license restrictions.
+
+
diff --git a/assets/demo-1.jpg b/assets/demo-1.jpg
new file mode 100644
index 0000000..ed8a252
Binary files /dev/null and b/assets/demo-1.jpg differ
diff --git a/moondream/vision_encoder.py b/moondream/vision_encoder.py
new file mode 100644
index 0000000..e1b3a0d
--- /dev/null
+++ b/moondream/vision_encoder.py
@@ -0,0 +1,28 @@
+import torch
+from PIL import Image
+from torchvision.transforms.v2 import (
+    Compose,
+    Resize,
+    InterpolationMode,
+    ToImage,
+    ToDtype,
+    Normalize,
+)
+
+
+class VisionEncoder:
+    def __init__(self) -> None:
+        self.model = torch.jit.load("model/vision.pt").to(dtype=torch.float32)
+        self.preprocess = Compose(
+            [
+                Resize(size=(384, 384), interpolation=InterpolationMode.BICUBIC),
+                ToImage(),
+                ToDtype(torch.float32, scale=True),
+                Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
+            ]
+        )
+
+    def __call__(self, image: Image) -> torch.Tensor:
+        with torch.no_grad():
+            image_vec = self.preprocess(image.convert("RGB")).unsqueeze(0)
+            return self.model(image_vec)
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..5c53f9e
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,4 @@
+torch
+pillow
+torchvision
+transformers
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