diff --git a/micro_sam/model_zoo.py b/micro_sam/model_zoo.py
index 23b9e735..600a075d 100644
--- a/micro_sam/model_zoo.py
+++ b/micro_sam/model_zoo.py
@@ -1,33 +1,51 @@
 import os
+import numpy as np
 from glob import glob
+import imageio.v2 as imageio
 
 from bioimageio.core.build_spec import build_model
 
 
-def _get_livecell_path(input_dir):
-    test_img_paths = glob(os.path.join(input_dir, "images", "livecell_test_images", "*"))
-    return test_img_paths[0]
+def _get_livecell_npy_path(input_dir):
+    test_img_paths = sorted(glob(os.path.join(input_dir, "images", "livecell_test_images", "*")))
+    input_image = imageio.imread(test_img_paths[0])
+    save_image_path = "./test-livecell-image.npy"
+    np.save(save_image_path, input_image)
+
+    # TODO: probably we need the prompt inputs here as well
+
+    # TODO: get output paths
+    # outputs: model(inputs) -> outputs: converted to numpy
+    save_output_path = "<RANDOM_PATH>.npy"
+
+    return [save_image_path], [save_output_path]
+
+
+def _get_documentation(doc_path):
+    with open(doc_path, "w") as f:
+        f.write("# Segment Anything for Microscopy\n")
+        f.write("Lorem Ipsum\n")
+    return doc_path
 
 
 def _get_modelzoo_yaml():
-    input_path = _get_livecell_path("/scratch/usr/nimanwai/data/livecell")
+    input_list, output_list = _get_livecell_npy_path("/scratch/usr/nimanwai/data/livecell")
 
     build_model(
         weight_uri="~/.sam_models/vit_t_mobile_sam.pth",
-        test_inputs=[input_path],
-        test_outputs=["./results/"],
+        test_inputs=input_list,  # type: ignore
+        test_outputs=output_list,  # type: ignore
         input_axes=["bcyx"],
         output_axes=["bcyx"],
         name="dinosaur",
-        description="lorem ipsum",
+        description="Finetuned Segment Anything models for Microscopy",
         authors=[{"name": "Anwai Archit", "affiliation": "Uni Goettingen"},
                  {"name": "Constantin Pape", "affiliation": "Uni Goettingen"}],
-        tags=["instance segmentation", "segment anything"],
-        license="LOREM IPSUM",  # FIXME
-        documentation="README.md",  # TODO - check out what to put here
-        cite=[{"text": "Archit, ..., Pape et al. Segment Anything for Microscopy",
-               "doi": "10.1101/2023.08.21.554208"}],
-        output_path="my_micro_sam.zip"
+        tags=["instance-segmentation", "segment-anything"],
+        license="CC-BY-4.0",  # TODO: check with Constantin
+        documentation=_get_documentation("./doc.md"),
+        cite=[{"text": "Archit, ..., Pape et al. Segment Anything for Microscopy", "doi": "10.1101/2023.08.21.554208"}],
+        output_path="./modelzoo/my_micro_sam.zip"
     )