diff --git a/.github/workflows/mmda-ci.yml b/.github/workflows/mmda-ci.yml
index fc439211..8412ef20 100644
--- a/.github/workflows/mmda-ci.yml
+++ b/.github/workflows/mmda-ci.yml
@@ -11,12 +11,12 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.8"]
+        python-version: ["3.11"]
 
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Setup python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
           architecture: x64
@@ -35,10 +35,10 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v2
-      - uses: actions/setup-python@v2
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
         with:
-          python-version: '3.8'
+          python-version: '3.11'
           architecture: x64
       - run: |
           sudo apt-get update
@@ -53,13 +53,13 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v2
-      - uses: actions/setup-python@v2
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
         with:
-          python-version: '3.8'
+          python-version: '3.11'
           architecture: x64
       - run: |
           sudo apt-get update
       - run: |
           pip install -e .[dev,svm_word_predictor]
-          pytest tests/test_predictors/test_svm_word_predictor.py --no-cov
\ No newline at end of file
+          pytest tests/test_predictors/test_svm_word_predictor.py --no-cov
diff --git a/pyproject.toml b/pyproject.toml
index f2eb94ac..77aeac15 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = 'mmda'
-version = '0.9.18'
+version = '0.9.26'
 description = 'MMDA - multimodal document analysis'
 authors = [
     {name = 'Allen Institute for Artificial Intelligence', email = 'contact@allenai.org'},
@@ -9,14 +9,15 @@ license = {text = 'Apache-2.0'}
 readme = 'README.md'
 requires-python = '>=3.7'
 dependencies = [
-        'tqdm',
-        'pdf2image',
+        'tqdm<5',
+        'pdf2image<2',
         'pdfplumber==0.7.4',
-        'requests',
+        'requests<3',
         'pandas<2',
+        'numpy<2',
         'pydantic[settings]>=1,<3',
-        'ncls==0.0.66',
-        'necessary>=0.3.2',
+        'ncls==0.0.70',
+        'necessary>=0.3.2,<1',
 ]
 
 [project.urls]
@@ -59,107 +60,106 @@ requires = [
 
 [project.optional-dependencies]
 dev = [
-    'pytest',
-    'pytest-xdist',
-    'pytest-cov',
+    'pytest<10',
+    'pytest-xdist<4',
+    'pytest-cov<8',
 ]
 grobid_augment_existing_document_parser = [
     'grobid-client-python==0.0.5'
 ]
 spacy_predictors = [
-    'spacy',
+    'spacy<4',
 ]
 pysbd_predictors = [
-    'pysbd',
+    'pysbd<1',
 ]
 heuristic_predictors = [
-    'tokenizers',
+    'tokenizers<1',
     'pydantic>=1,<2',
 ]
 lp_predictors = [
-    'layoutparser',
-    'torch',
-    'torchvision',
-    'effdet',
+    'layoutparser>=0.3,<0.4',
+    'torch>=2.0,<2.1',
+    'torchvision>=0.15,<0.16',
+    'effdet>=0.3,<0.4',
     'pydantic>=1,<2'
 ]
 hf_predictors = [
-    'torch',
-    'transformers',
+    'torch>=2.0,<2.1',
+    'transformers<6',
     'smashed==0.1.10',
 ]
 vila_predictors = [
     'vila>=0.5,<0.6',
-    'transformers<4.34.0',
+    'transformers<4.30',
     'pydantic>=1,<2',
 ]
 mention_predictor = [
-    'transformers[torch]',
-    'optimum[onnxruntime]',
+    'transformers[torch]<6',
+    'optimum[onnxruntime]<3',
     'pydantic>=1,<2',
 ]
 mention_predictor_gpu = [
-    'transformers[torch]',
-    'optimum[onnxruntime-gpu]',
+    'transformers[torch]<6',
+    'optimum[onnxruntime-gpu]<3',
     'pydantic>=1,<2',
 ]
 bibentry_predictor = [
-    'transformers',
-    'unidecode',
-    'torch',
-    'optimum[onnxruntime]',
+    'transformers<6',
+    'unidecode<2',
+    'torch>=2.0,<2.1',
+    'optimum[onnxruntime]<3',
     'pydantic>=1,<2',
 ]
 bibentry_predictor_gpu = [
-    'transformers',
-    'unidecode',
-    'torch',
-    'optimum[onnxruntime-gpu]',
+    'transformers<6',
+    'unidecode<2',
+    'torch>=2.0,<2.1',
+    'optimum[onnxruntime-gpu]<3',
     'pydantic>=1,<2'
 ]
 bibentry_detection_predictor = [
-    'Pillow<10',
-    'layoutparser',
-    'torch==1.8.0+cu111',
-    'torchvision==0.9.0+cu111',
-    'pydantic<=1,<2',
+    'Pillow>=9.3,<10',
+    'layoutparser>=0.3,<0.4',
+    'pydantic>=1,<2',
 ]
 citation_links = [
-    'numpy',
-    'thefuzz[speedup]',
-    'scikit-learn',
-    'xgboost',
+    'numpy<2',
+    'thefuzz[speedup]<1',
+    'scikit-learn<1.3',
+    'xgboost<2',
     'pydantic>=1,<2',
 ]
 section_nesting = [
-    'numpy',
-    'scipy',
-    'xgboost',
+    'numpy<2',
+    'scipy<2',
+    'scikit-learn<1.3',
+    'xgboost<2',
 ]
 figure_table_predictors = [
-    'scipy',
+    'scipy<2',
     'pydantic>=1,<2',
 ]
 svm_word_predictor = [
-    'scikit-learn',
-    'scipy',
-    'numpy',
-    'tokenizers',
+    'scikit-learn<1.3',
+    'scipy<2',
+    'numpy<2',
+    'tokenizers<1',
     'pydantic>=1,<2',
 ]
 recipes = [
-    'layoutparser',
-    'transformers',
-    'torch',
-    'torchvision',
-    'effdet',
+    'layoutparser>=0.3,<0.4',
+    'transformers<6',
+    'torch>=2.0,<2.1',
+    'torchvision>=0.15,<0.16',
+    'effdet>=0.3,<0.4',
     'vila>=0.5,<0.6',
     'smashed==0.1.10',
-    'scikit-learn',
-    'scipy',
-    'numpy',
-    'tokenizers',
-    'xgboost',
+    'scikit-learn<1.3',
+    'scipy<2',
+    'numpy<2',
+    'tokenizers<1',
+    'xgboost<2',
 ]
 
 
@@ -171,7 +171,7 @@ pythonpath = [
 ]
 python_classes = ['Test*', '*Test']
 log_format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s'
-log_level = 'DEBUG'
+log_level = 'WARNING'
 markers = []
 filterwarnings = []
 
diff --git a/src/ai2_internal/config.yaml b/src/ai2_internal/config.yaml
index 7b4dff6c..92490210 100644
--- a/src/ai2_internal/config.yaml
+++ b/src/ai2_internal/config.yaml
@@ -24,7 +24,7 @@ model_variants:
     artifacts_s3_path: s3://ai2-timo-registry/model-artifacts/vila/ivila-row-layoutlm-finetuned-s2vl-v2.tar.gz
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     cuda: True
 
@@ -51,7 +51,7 @@ model_variants:
     extras_require: ["dev", "lp_predictors"]
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: True
@@ -88,7 +88,7 @@ model_variants:
     artifacts_s3_path: s3://ai2-timo-registry/model-artifacts/bibentryparser/v0.onnx.tar.gz
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: False
@@ -125,7 +125,7 @@ model_variants:
     artifacts_s3_path: s3://ai2-timo-registry/model-artifacts/bibentryparser/v0.onnx.tar.gz
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: True
@@ -163,7 +163,7 @@ model_variants:
     artifacts_s3_path: s3://ai2-s2-mmda/models/citation-mentions/2022-07-27-minilm-10k/model/artifacts-onnx16.tar.gz
 
     # Version of python required for model runtime
-    python_version: "3.8"
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: True
@@ -194,7 +194,7 @@ model_variants:
     artifacts_s3_path: s3://ai2-timo-registry/model-artifacts/citationlinks/v1.tar.gz
 
     # Version of python required for model runtime
-    python_version: "3.8"
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: False
@@ -222,14 +222,14 @@ model_variants:
     artifacts_s3_path: s3://ai2-s2-analytics/danyh/extract-stuff-from-pdfs/artifacts/anchor/archive.tar.gz
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: "3.8"
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: true
 
-    # One of the versions here: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md#ubuntu2004, but less than 11.4.3.
-    # If cuda=True and cuda_version is unspecified, defaults to 11.4.2.
-    cuda_version: "11.1.1"
+    # One of the versions here: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md#ubuntu2204
+    # If cuda=True and cuda_version is unspecified, defaults to 11.8.0.
+    cuda_version: "11.8.0"
 
     # Python path to a fn in <model_package_name>==<model_package_version> that
     # returns a unittest.TestCase. Builder function receives a model container
@@ -243,9 +243,9 @@ model_variants:
 
     # pip installing dependencies listed in setup.py so that detectron2 installs successfully
     docker_run_commands: [ "apt-get update && apt-get install -y poppler-utils libgl1",
-                           "pip install layoutparser",
-                           "pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html",
-                           "pip install 'detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.6#egg=detectron2'"]
+                           "pip install torch==2.4.1+cu118 torchvision==0.19.1+cu118 --index-url https://download.pytorch.org/whl/cu118",
+                           "pip install https://github.com/miropsota/torch_packages_builder/releases/download/detectron2-0.6%2Bfd27788/detectron2-0.6%2Bfd27788pt2.4.1cu118-cp311-cp311-linux_x86_64.whl",
+                           "pip install layoutparser"]
 
     # Any additional sets of dependencies required by the model.
     # These are the 'extras_require' keys in your setup.py.
@@ -267,7 +267,7 @@ model_variants:
     integration_test: ai2_internal.figure_table_predictors.integration_test.TestInterfaceIntegration
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     cuda: False
 
@@ -305,7 +305,7 @@ model_variants:
     artifacts_s3_path: null
 
     # Version of python required for model runtime, e.g. 3.7, 3.8, 3.9
-    python_version: 3.8
+    python_version: "3.11"
 
     # Whether this model supports CUDA GPU acceleration
     cuda: false