diff --git a/Makefile b/Makefile
index e4ac5c6..eb6353a 100644
--- a/Makefile
+++ b/Makefile
@@ -13,7 +13,7 @@ WGET = wget -O
 #SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz
 #SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz
 #SEG_MODEL := https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar.gz?download=1
-EYNOLLAH_MODELS_URL := https://zenodo.org/records/17727267/files/models_all_v0_8_0.zip
+EYNOLLAH_MODELS_URL := https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip
 EYNOLLAH_MODELS_ZIP = $(notdir $(EYNOLLAH_MODELS_URL))
 EYNOLLAH_MODELS_DIR = $(EYNOLLAH_MODELS_ZIP:%.zip=%)
 
diff --git a/README.md b/README.md
index bf80bca..be21a7a 100644
--- a/README.md
+++ b/README.md
@@ -74,11 +74,11 @@ When using Eynollah with Docker, see [`docker.md`](https://github.com/qurator-sp
 
 ## Models
 
-Pretrained models can be downloaded from [Zenodo](https://zenodo.org/records/17727267) or [Hugging Face](https://huggingface.co/SBB?search_models=eynollah).
+Pretrained models can be downloaded from [Zenodo](https://doi.org/10.5281/zenodo.17194823) or [Hugging Face](https://huggingface.co/SBB?search_models=eynollah).
 
-For fast runtime inference, download the ONNX models. 
+For fast runtime inference, download the ONNX models distributed as `models_inference_...zip`. 
 
-For finetuning training, download the original (Tensorflow / Torch) models
+For finetuning training, download the original (Tensorflow / Torch) models distributed as `models_training...zip`
 (and install the `[training]` extra).
 
 For model documentation and model cards, see [`models.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/models.md).
diff --git a/src/eynollah/model_zoo/default_specs.py b/src/eynollah/model_zoo/default_specs.py
index 18bf093..2b1196b 100644
--- a/src/eynollah/model_zoo/default_specs.py
+++ b/src/eynollah/model_zoo/default_specs.py
@@ -1,8 +1,8 @@
 from .specs import EynollahModelSpec, EynollahModelSpecSet
 
 # NOTE: This needs to change whenever models/versions change
-ZENODO = "https://zenodo.org/records/17727267"
-MODELS_VERSION = "v0_8_0"
+ZENODO = "https://zenodo.org/records/21362927"
+MODELS_VERSION = "v0_9_0"
 
 def dist_url(dist_name: str="layout") -> str:
     return f'{ZENODO}/models_{dist_name}_{MODELS_VERSION}.zip'
diff --git a/src/eynollah/ocrd-tool.json b/src/eynollah/ocrd-tool.json
index 89ed0da..38a129d 100644
--- a/src/eynollah/ocrd-tool.json
+++ b/src/eynollah/ocrd-tool.json
@@ -84,6 +84,22 @@
         }
       },
       "resources": [
+        {
+          "url": "https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip",
+          "name": "models_inference_all_v0_9_0",
+          "type": "archive",
+	  "size": 5177204769,
+          "description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization and image enhancement",
+          "version_range": ">= v0.9.0"
+        },
+        {
+          "url": "https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip",
+          "name": "models_inference_all_v0_9_0",
+          "type": "archive",
+	  "size": 5177204769,
+          "description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization and image enhancement",
+          "version_range": ">= v0.9.0"
+        },
         {
           "url": "https://zenodo.org/records/17727267/files/models_all_v0_8_0.zip",
           "name": "models_all_v0_8_0",