From 1387e6c70c4af333eaccdf160dca55d7011c4730 Mon Sep 17 00:00:00 2001
From: George Panchuk <george.panchuk@qdrant.tech>
Date: Mon, 12 Oct 2026 18:53:13 +0700
Subject: [PATCH 1/3] fix: accept avx2 and vnni outputs of int8 models in tests

---
 tests/misc/logo.png                 | Bin 0 -> 19374 bytes
 tests/test_image_onnx_embeddings.py |  27 +++++++++++++++++++--------
 tests/test_text_cross_encoder.py    |   5 +++--
 tests/test_text_onnx_embeddings.py  |  17 ++++++++++++-----
 4 files changed, 34 insertions(+), 15 deletions(-)
 create mode 100644 tests/misc/logo.png

diff --git a/tests/misc/logo.png b/tests/misc/logo.png
new file mode 100644
index 0000000000000000000000000000000000000000..8805f2b98a85ac615ad0ec22334ed681b1aa74b7
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diff --git a/tests/test_image_onnx_embeddings.py b/tests/test_image_onnx_embeddings.py
index 2e5288118..5a9e64229 100644
--- a/tests/test_image_onnx_embeddings.py
+++ b/tests/test_image_onnx_embeddings.py
@@ -5,7 +5,6 @@
 
 import numpy as np
 import pytest
-import requests
 from PIL import Image
 
 from fastembed import ImageEmbedding
@@ -29,8 +28,15 @@
     "nomic-ai/nomic-embed-vision-v1.5": np.array(
         [0.0048, -0.0254, 0.0067, -0.0296, -0.0435, -0.0123, 0.0024, -0.0361, -0.0703, -0.0186]
     ),
-    "nomic-ai/nomic-embed-vision-v1.5-Q": np.array(
-        [-0.0011, -0.0477, 0.0024, -0.049, -0.0458, -0.0314, 0.017, -0.0383, -0.0537, -0.021]
+    # onnxruntime's avx2 int8 kernel saturates on this model's full-range int8 weights, while vnni
+    # and amx compute them exactly, ci runners come with either
+    "nomic-ai/nomic-embed-vision-v1.5-Q": (
+        np.array(  # x86-64 avx2
+            [-0.0006, -0.0446, 0.0069, -0.0553, -0.0459, -0.0261, 0.0058, -0.0463, -0.0606, -0.019]
+        ),
+        np.array(  # x86-64 vnni
+            [0.0020, -0.0376, 0.0094, -0.0402, -0.0457, -0.0216, 0.0100, -0.0378, -0.0650, -0.0205]
+        ),
     ),
     "google/siglip2-base-patch16-224": np.array(
         [-0.02095927, -0.0075177, -0.00144479, -0.0080948, 0.05031789]
@@ -82,21 +88,26 @@ def test_embedding(model_cache, model_name: str) -> None:
         dim = model_desc.dim
 
         with model_cache(model_desc.model) as model:
+            # quantized models scale activations over the whole batch, so the first embedding
+            # depends on every image here, keep them local files
             images = [
                 TEST_MISC_DIR / "image.jpeg",
                 str(TEST_MISC_DIR / "small_image.jpeg"),
                 Image.open((TEST_MISC_DIR / "small_image.jpeg")),
-                Image.open(BytesIO(requests.get("https://qdrant.tech/img/logo.png").content)),
+                Image.open(BytesIO((TEST_MISC_DIR / "logo.png").read_bytes())),
             ]
             embeddings = list(model.embed(images))
             embeddings = np.stack(embeddings, axis=0)
             assert embeddings.shape == (len(images), dim)
 
             canonical_vector = CANONICAL_VECTOR_VALUES[model_desc.model]
-
-            assert np.allclose(
-                embeddings[0, : canonical_vector.shape[0]], canonical_vector, atol=1e-3
-            ), model_desc.model
+            canonical_variants = (
+                canonical_vector if isinstance(canonical_vector, tuple) else (canonical_vector,)
+            )
+            prefix = embeddings[0, : canonical_variants[0].shape[0]]
+            assert any(
+                np.allclose(prefix, expected, atol=1e-3) for expected in canonical_variants
+            ), f"{model_desc.model}: {prefix}"
 
             assert np.allclose(embeddings[1], embeddings[2]), model_desc.model
 
diff --git a/tests/test_text_cross_encoder.py b/tests/test_text_cross_encoder.py
index 85988ca8f..b00cf862b 100644
--- a/tests/test_text_cross_encoder.py
+++ b/tests/test_text_cross_encoder.py
@@ -13,8 +13,9 @@
     "BAAI/bge-reranker-base": np.array([6.15733337, -3.65939403]),
     "BAAI/bge-reranker-v2-m3": np.array([8.78182220, -5.46485329]),
     "BAAI/bge-reranker-v2-m3-int8": (
-        np.array([8.59202957, -5.39362288]),  # ONNX Runtime 1.27.0
-        np.array([8.51154804, -5.56898642]),  # ONNX Runtime 1.30.0
+        np.array([8.59202957, -5.39362288]),  # arm64, ONNX Runtime 1.27.0
+        np.array([8.51154804, -5.56898642]),  # arm64, ONNX Runtime 1.30.0
+        np.array([8.85104847, -5.73784494]),  # x86-64 avx2 and vnni, ONNX Runtime 1.30.0
     ),
     "jinaai/jina-reranker-v1-tiny-en": np.array([2.5911, 0.1122]),
     "jinaai/jina-reranker-v1-turbo-en": np.array([1.8295, -2.8908]),
diff --git a/tests/test_text_onnx_embeddings.py b/tests/test_text_onnx_embeddings.py
index 632bb70cd..1d8e243e5 100644
--- a/tests/test_text_onnx_embeddings.py
+++ b/tests/test_text_onnx_embeddings.py
@@ -56,8 +56,11 @@
     "nomic-ai/nomic-embed-text-v1.5": np.array(
         [-0.15407836, -0.03053198, -3.9138033, 0.1910364, 0.13224715]
     ),
-    "nomic-ai/nomic-embed-text-v1.5-Q": np.array(
-        [0.0802303, 0.3700881, -4.3053818, 0.4431803, -0.271572]
+    # onnxruntime's avx2 int8 kernel saturates on this model's full-range int8 weights, while vnni
+    # and amx compute them exactly, ci runners come with either
+    "nomic-ai/nomic-embed-text-v1.5-Q": (
+        np.array([0.0802303, 0.3700881, -4.3053818, 0.4431803, -0.271572]),  # x86-64 avx2
+        np.array([0.12422204, 0.14779393, -3.8240886, 0.47303754, -0.14925367]),  # x86-64 vnni
     ),
     "thenlper/gte-large": np.array(
         [-0.00986551, -0.00018734, 0.00605892, -0.03289612, -0.0387564],
@@ -188,9 +191,13 @@ def test_embedding(model_cache, model_name: str) -> None:
             assert embeddings.shape == (2, dim)
 
             canonical_vector = CANONICAL_VECTOR_VALUES[model_desc.model]
-            assert np.allclose(
-                embeddings[0, : canonical_vector.shape[0]], canonical_vector, atol=1e-3
-            ), model_desc.model
+            canonical_variants = (
+                canonical_vector if isinstance(canonical_vector, tuple) else (canonical_vector,)
+            )
+            prefix = embeddings[0, : canonical_variants[0].shape[0]]
+            assert any(
+                np.allclose(prefix, expected, atol=1e-3) for expected in canonical_variants
+            ), f"{model_desc.model}: {prefix}"
 
 
 def test_query_embedding(model_cache) -> None:

From 7806a6a850a4a125aebc25007b45fe6b03ae9da0 Mon Sep 17 00:00:00 2001
From: George Panchuk <george.panchuk@qdrant.tech>
Date: Mon, 12 Oct 2026 18:56:31 +0700
Subject: [PATCH 2/3] tests: add a temporary ci job for the int8 models on
 several runners

---
 .github/tmp/restrict_models.py                | 18 ++++++++
 .github/workflows/tmp-quantized-cpu-check.yml | 46 +++++++++++++++++++
 2 files changed, 64 insertions(+)
 create mode 100644 .github/tmp/restrict_models.py
 create mode 100644 .github/workflows/tmp-quantized-cpu-check.yml

diff --git a/.github/tmp/restrict_models.py b/.github/tmp/restrict_models.py
new file mode 100644
index 000000000..7889ddd58
--- /dev/null
+++ b/.github/tmp/restrict_models.py
@@ -0,0 +1,18 @@
+"""pytest -p restrict_models: limits the tests to the int8 models of #803, temporary"""
+
+from fastembed import ImageEmbedding, TextEmbedding
+from fastembed.rerank.cross_encoder import TextCrossEncoder
+
+KEEP = {
+    "nomic-ai/nomic-embed-text-v1.5-Q",
+    "nomic-ai/nomic-embed-vision-v1.5-Q",
+    "BAAI/bge-reranker-v2-m3-int8",
+}
+
+for cls in (TextEmbedding, ImageEmbedding, TextCrossEncoder):
+    original = cls._list_supported_models.__func__
+
+    def restricted(c, original=original):
+        return [m for m in original(c) if m.model in KEEP]
+
+    cls._list_supported_models = classmethod(restricted)
diff --git a/.github/workflows/tmp-quantized-cpu-check.yml b/.github/workflows/tmp-quantized-cpu-check.yml
new file mode 100644
index 000000000..b817431b6
--- /dev/null
+++ b/.github/workflows/tmp-quantized-cpu-check.yml
@@ -0,0 +1,46 @@
+name: tmp quantized cpu check
+
+# temporary, remove before merging: samples several runners to check the per-cpu canonical values
+# of the int8 models, see #803
+on:
+  pull_request:
+    branches: [ main ]
+
+permissions:
+  contents: read
+
+jobs:
+  check:
+    strategy:
+      fail-fast: false
+      matrix:
+        sample: [1, 2, 3, 4, 5, 6, 7, 8]
+    runs-on: ubuntu-latest
+    name: sample ${{ matrix.sample }}
+
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+      - name: Set up Python
+        uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
+        with:
+          python-version: '3.14.x'
+      - name: Install dependencies
+        run: |
+          python -m pip install poetry
+          poetry config virtualenvs.create false
+          poetry install --no-interaction --no-ansi --without dev,docs
+      - name: CPU
+        run: |
+          lscpu | grep -E 'Model name|^CPU\(s\)'
+          echo "int8 relevant flags: $(grep -m1 -owE 'avx2|avx512f|avx512_vnni|avx_vnni|amx_int8' /proc/cpuinfo | sort -u | tr '\n' ' ')"
+      - name: Run the int8 model tests
+        env:
+          CI: '' # local mode tests every model under 1 GB, restrict_models keeps the three int8 ones
+          PYTHONPATH: .github/tmp
+        run: |
+          poetry run pytest -p restrict_models -q --durations=0 \
+            tests/test_text_onnx_embeddings.py::test_embedding \
+            tests/test_image_onnx_embeddings.py::test_embedding \
+            tests/test_text_cross_encoder.py::test_rerank

From 37332b1e2b6915fb562fc3c58259559387994f78 Mon Sep 17 00:00:00 2001
From: George Panchuk <george.panchuk@qdrant.tech>
Date: Mon, 12 Oct 2026 19:04:33 +0700
Subject: [PATCH 3/3] remove tmp ci

---
 .github/tmp/restrict_models.py                | 18 --------
 .github/workflows/tmp-quantized-cpu-check.yml | 46 -------------------
 2 files changed, 64 deletions(-)
 delete mode 100644 .github/tmp/restrict_models.py
 delete mode 100644 .github/workflows/tmp-quantized-cpu-check.yml

diff --git a/.github/tmp/restrict_models.py b/.github/tmp/restrict_models.py
deleted file mode 100644
index 7889ddd58..000000000
--- a/.github/tmp/restrict_models.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""pytest -p restrict_models: limits the tests to the int8 models of #803, temporary"""
-
-from fastembed import ImageEmbedding, TextEmbedding
-from fastembed.rerank.cross_encoder import TextCrossEncoder
-
-KEEP = {
-    "nomic-ai/nomic-embed-text-v1.5-Q",
-    "nomic-ai/nomic-embed-vision-v1.5-Q",
-    "BAAI/bge-reranker-v2-m3-int8",
-}
-
-for cls in (TextEmbedding, ImageEmbedding, TextCrossEncoder):
-    original = cls._list_supported_models.__func__
-
-    def restricted(c, original=original):
-        return [m for m in original(c) if m.model in KEEP]
-
-    cls._list_supported_models = classmethod(restricted)
diff --git a/.github/workflows/tmp-quantized-cpu-check.yml b/.github/workflows/tmp-quantized-cpu-check.yml
deleted file mode 100644
index b817431b6..000000000
--- a/.github/workflows/tmp-quantized-cpu-check.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-name: tmp quantized cpu check
-
-# temporary, remove before merging: samples several runners to check the per-cpu canonical values
-# of the int8 models, see #803
-on:
-  pull_request:
-    branches: [ main ]
-
-permissions:
-  contents: read
-
-jobs:
-  check:
-    strategy:
-      fail-fast: false
-      matrix:
-        sample: [1, 2, 3, 4, 5, 6, 7, 8]
-    runs-on: ubuntu-latest
-    name: sample ${{ matrix.sample }}
-
-    steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          persist-credentials: false
-      - name: Set up Python
-        uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
-        with:
-          python-version: '3.14.x'
-      - name: Install dependencies
-        run: |
-          python -m pip install poetry
-          poetry config virtualenvs.create false
-          poetry install --no-interaction --no-ansi --without dev,docs
-      - name: CPU
-        run: |
-          lscpu | grep -E 'Model name|^CPU\(s\)'
-          echo "int8 relevant flags: $(grep -m1 -owE 'avx2|avx512f|avx512_vnni|avx_vnni|amx_int8' /proc/cpuinfo | sort -u | tr '\n' ' ')"
-      - name: Run the int8 model tests
-        env:
-          CI: '' # local mode tests every model under 1 GB, restrict_models keeps the three int8 ones
-          PYTHONPATH: .github/tmp
-        run: |
-          poetry run pytest -p restrict_models -q --durations=0 \
-            tests/test_text_onnx_embeddings.py::test_embedding \
-            tests/test_image_onnx_embeddings.py::test_embedding \
-            tests/test_text_cross_encoder.py::test_rerank