Add support for Pixtral (#33449)

* initial commit * gloups * updates * work * weights match * nits * nits * updates to support the tokenizer :) * updates * Pixtral processor (#33454) * rough outline * Add in image break and end tokens * Fix * Udo some formatting changes * Set patch_size default * Fix * Fix token expansion * nit in conversion script * Fix image token list creation * done * add expected results * Process list of list of images (#33465) * updates * working image and processor * this is the expected format * some fixes * push current updated * working mult images! * add a small integration test * Uodate configuration docstring * Formatting * Config docstring fix * simplify model test * fixup modeling and etests * Return BatchMixFeature in image processor * fix some copies * update * nits * Update model docstring * Apply suggestions from code review * Fix up * updates * revert modeling changes * update * update * fix load safe * addd liscence * update * use pixel_values as required by the model * skip some tests and refactor * Add pixtral image processing tests (#33476) * Image processing tests * Add processing tests * woops * defaults reflect pixtral image processor * fixup post merge * images -> pixel values * oups sorry Mr docbuilder * isort * fix * fix processor tests * small fixes * nit * update * last nits * oups this was really breaking! * nits * is composition needs to be true --------- Co-authored-by: amyeroberts <[email protected]>
huggingface · Sep 14, 2024 · 8bd2b1e · 8bd2b1e
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diff --git a/docs/source/en/_toctree.yml b/docs/source/en/_toctree.yml
@@ -862,6 +862,8 @@
         title: Perceiver
       - local: model_doc/pix2struct
         title: Pix2Struct
+      - local: model_doc/pixtral
+        title: Pixtral
       - local: model_doc/sam
         title: Segment Anything
       - local: model_doc/siglip

diff --git a/docs/source/en/index.md b/docs/source/en/index.md
@@ -253,6 +253,7 @@ Flax), PyTorch, and/or TensorFlow.
 |                          [Phi3](model_doc/phi3)                          |       ✅        |         ❌         |      ❌      |
 |                       [PhoBERT](model_doc/phobert)                       |       ✅        |         ✅         |      ✅      |
 |                    [Pix2Struct](model_doc/pix2struct)                    |       ✅        |         ❌         |      ❌      |
+|                       [Pixtral](model_doc/pixtral)                       |       ❌        |         ❌         |      ❌      |
 |                        [PLBart](model_doc/plbart)                        |       ✅        |         ❌         |      ❌      |
 |                    [PoolFormer](model_doc/poolformer)                    |       ✅        |         ❌         |      ❌      |
 |                     [Pop2Piano](model_doc/pop2piano)                     |       ✅        |         ❌         |      ❌      |

diff --git a/docs/source/en/model_doc/pixtral.md b/docs/source/en/model_doc/pixtral.md
@@ -0,0 +1,98 @@
+<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
+rendered properly in your Markdown viewer.
+
+-->
+
+# Pixtral
+
+## Overview
+
+The Pixtral model was released by the Mistral AI team on [Vllm](https://github.com/vllm-project/vllm/pull/8377), where a version of the code can be found!
+
+
+Tips:
+
+- Pixtral is a multimodal model, the main contribution is the 2d ROPE on the images, and support for arbitrary image size (the images are not padded together nor are they resized)
+- This model follows the `Llava` familiy, meaning image embeddings are placed instead of the `[IMG]` token placeholders. 
+- The format for one or mulitple prompts is the following:
+```
+"<s>[INST][IMG]\nWhat are the things I should be cautious about when I visit this place?[/INST]"
+```
+Then, the processor will replace each `[IMG]` token with  a number of `[IMG]` token that depends on the height and the width of the image. Each *row* of the image is separated by a `[IMG_BREAK]` token, and each image is separated by a  `[IMG_END]` token.
+
+This model was contributed by [amyeroberts](https://huggingface.co/amyeroberts) and [ArthurZ](https://huggingface.co/ArthurZ)
+
+Here is an example of how to run it:
+
+```python 
+from transformers import LlavaForConditionalGeneration, AutoProcessor
+from PIL import Image
+
+model_id = "hf-internal-testing/pixtral-12b"
+model = LlavaForConditionalGeneration.from_pretrained(model_id).to("cuda")
+processor = AutoProcessor.from_pretrained(model_id)
+
+IMG_URLS = [
+    "https://picsum.photos/id/237/400/300",
+    "https://picsum.photos/id/231/200/300",
+    "https://picsum.photos/id/27/500/500",
+    "https://picsum.photos/id/17/150/600",
+]
+PROMPT = "<s>[INST]Describe the images.\n[IMG][IMG][IMG][IMG][/INST]"
+
+inputs = processor(text=PROMPT, images=IMG_URLS, return_tensors="pt").to("cuda")
+generate_ids = model.generate(**inputs, max_new_tokens=500)
+ouptut = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+
+EXPECTED_GENERATION = """
+Describe the images.
+Sure, let's break down each image description:
+
+1. **Image 1:**
+   - **Description:** A black dog with a glossy coat is sitting on a wooden floor. The dog has a focused expression and is looking directly at the camera.
+   - **Details:** The wooden floor has a rustic appearance with visible wood grain patterns. The dog's eyes are a striking color, possibly brown or amber, which contrasts with its black fur.
+
+2. **Image 2:**
+   - **Description:** A scenic view of a mountainous landscape with a winding road cutting through it. The road is surrounded by lush green vegetation and leads to a distant valley.
+   - **Details:** The mountains are rugged with steep slopes, and the sky is clear, indicating good weather. The winding road adds a sense of depth and perspective to the image.
+
+3. **Image 3:**
+   - **Description:** A beach scene with waves crashing against the shore. There are several people in the water and on the beach, enjoying the waves and the sunset.
+   - **Details:** The waves are powerful, creating a dynamic and lively atmosphere. The sky is painted with hues of orange and pink from the setting sun, adding a warm glow to the scene.
+
+4. **Image 4:**
+   - **Description:** A garden path leading to a large tree with a bench underneath it. The path is bordered by well-maintained grass and flowers.
+   - **Details:** The path is made of small stones or gravel, and the tree provides a shaded area with the bench invitingly placed beneath it. The surrounding area is lush and green, suggesting a well-kept garden.
+
+Each image captures a different scene, from a close-up of a dog to expansive natural landscapes, showcasing various elements of nature and human interaction with it.
+"""
+
+```
+## PixtralVisionConfig
+
+[[autodoc]] PixtralVisionConfig
+
+## PixtralModel
+
+[[autodoc]] PixtralModel
+    - forward
+
+## PixtralImageProcessor
+
+[[autodoc]] PixtralImageProcessor
+    - preprocess
+
+## PixtralProcessor
+
+[[autodoc]] PixtralProcessor
diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py
@@ -649,6 +649,7 @@
         "Pix2StructTextConfig",
         "Pix2StructVisionConfig",
     ],
+    "models.pixtral": ["PixtralProcessor", "PixtralVisionConfig"],
     "models.plbart": ["PLBartConfig"],
     "models.poolformer": ["PoolFormerConfig"],
     "models.pop2piano": ["Pop2PianoConfig"],
@@ -1199,6 +1200,7 @@
     _import_structure["models.owlvit"].extend(["OwlViTFeatureExtractor", "OwlViTImageProcessor"])
     _import_structure["models.perceiver"].extend(["PerceiverFeatureExtractor", "PerceiverImageProcessor"])
     _import_structure["models.pix2struct"].extend(["Pix2StructImageProcessor"])
+    _import_structure["models.pixtral"].append("PixtralImageProcessor")
     _import_structure["models.poolformer"].extend(["PoolFormerFeatureExtractor", "PoolFormerImageProcessor"])
     _import_structure["models.pvt"].extend(["PvtImageProcessor"])
     _import_structure["models.qwen2_vl"].extend(["Qwen2VLImageProcessor"])
@@ -1359,7 +1361,6 @@
             "AlignVisionModel",
         ]
     )
-
     _import_structure["models.altclip"].extend(
         [
             "AltCLIPModel",
@@ -2977,6 +2978,7 @@
             "Pix2StructVisionModel",
         ]
     )
+    _import_structure["models.pixtral"].extend(["PixtralModel", "PixtralPreTrainedModel"])
     _import_structure["models.plbart"].extend(
         [
             "PLBartForCausalLM",
@@ -5434,6 +5436,10 @@
         Pix2StructTextConfig,
         Pix2StructVisionConfig,
     )
+    from .models.pixtral import (
+        PixtralProcessor,
+        PixtralVisionConfig,
+    )
     from .models.plbart import PLBartConfig
     from .models.poolformer import (
         PoolFormerConfig,
@@ -6009,6 +6015,7 @@
         from .models.owlvit import OwlViTFeatureExtractor, OwlViTImageProcessor
         from .models.perceiver import PerceiverFeatureExtractor, PerceiverImageProcessor
         from .models.pix2struct import Pix2StructImageProcessor
+        from .models.pixtral import PixtralImageProcessor
         from .models.poolformer import (
             PoolFormerFeatureExtractor,
             PoolFormerImageProcessor,
@@ -7448,6 +7455,10 @@
             Pix2StructTextModel,
             Pix2StructVisionModel,
         )
+        from .models.pixtral import (
+            PixtralModel,
+            PixtralPreTrainedModel,
+        )
         from .models.plbart import (
             PLBartForCausalLM,
             PLBartForConditionalGeneration,

diff --git a/src/transformers/models/__init__.py b/src/transformers/models/__init__.py
@@ -187,6 +187,7 @@
     phi3,
     phobert,
     pix2struct,
+    pixtral,
     plbart,
     poolformer,
     pop2piano,

diff --git a/src/transformers/models/auto/configuration_auto.py b/src/transformers/models/auto/configuration_auto.py
@@ -205,6 +205,7 @@
         ("phi", "PhiConfig"),
         ("phi3", "Phi3Config"),
         ("pix2struct", "Pix2StructConfig"),
+        ("pixtral", "PixtralVisionConfig"),
         ("plbart", "PLBartConfig"),
         ("poolformer", "PoolFormerConfig"),
         ("pop2piano", "Pop2PianoConfig"),
@@ -509,6 +510,7 @@
         ("phi3", "Phi3"),
         ("phobert", "PhoBERT"),
         ("pix2struct", "Pix2Struct"),
+        ("pixtral", "Pixtral"),
         ("plbart", "PLBart"),
         ("poolformer", "PoolFormer"),
         ("pop2piano", "Pop2Piano"),

diff --git a/src/transformers/models/auto/image_processing_auto.py b/src/transformers/models/auto/image_processing_auto.py
@@ -114,6 +114,7 @@
             ("owlvit", ("OwlViTImageProcessor",)),
             ("perceiver", ("PerceiverImageProcessor",)),
             ("pix2struct", ("Pix2StructImageProcessor",)),
+            ("pixtral", ("PixtralImageProcessor",)),
             ("poolformer", ("PoolFormerImageProcessor",)),
             ("pvt", ("PvtImageProcessor",)),
             ("pvt_v2", ("PvtImageProcessor",)),

diff --git a/src/transformers/models/auto/modeling_auto.py b/src/transformers/models/auto/modeling_auto.py
@@ -193,6 +193,7 @@
         ("persimmon", "PersimmonModel"),
         ("phi", "PhiModel"),
         ("phi3", "Phi3Model"),
+        ("pixtral", "PixtralModel"),
         ("plbart", "PLBartModel"),
         ("poolformer", "PoolFormerModel"),
         ("prophetnet", "ProphetNetModel"),

diff --git a/src/transformers/models/auto/processing_auto.py b/src/transformers/models/auto/processing_auto.py
@@ -82,6 +82,7 @@
         ("owlvit", "OwlViTProcessor"),
         ("paligemma", "PaliGemmaProcessor"),
         ("pix2struct", "Pix2StructProcessor"),
+        ("pixtral", "PixtralProcessor"),
         ("pop2piano", "Pop2PianoProcessor"),
         ("qwen2_audio", "Qwen2AudioProcessor"),
         ("qwen2_vl", "Qwen2VLProcessor"),

diff --git a/src/transformers/models/auto/tokenization_auto.py b/src/transformers/models/auto/tokenization_auto.py
@@ -385,6 +385,7 @@
             ("phi3", ("LlamaTokenizer", "LlamaTokenizerFast" if is_tokenizers_available() else None)),
             ("phobert", ("PhobertTokenizer", None)),
             ("pix2struct", ("T5Tokenizer", "T5TokenizerFast" if is_tokenizers_available() else None)),
+            ("pixtral", (None, "PreTrainedTokenizerFast" if is_tokenizers_available() else None)),
             ("plbart", ("PLBartTokenizer" if is_sentencepiece_available() else None, None)),
             ("prophetnet", ("ProphetNetTokenizer", None)),
             ("qdqbert", ("BertTokenizer", "BertTokenizerFast" if is_tokenizers_available() else None)),

diff --git a/src/transformers/models/llava/configuration_llava.py b/src/transformers/models/llava/configuration_llava.py
@@ -73,7 +73,7 @@ class LlavaConfig(PretrainedConfig):
     ```"""
 
     model_type = "llava"
-    is_composition = False
+    is_composition = True
 
     def __init__(
         self,

diff --git a/src/transformers/models/pixtral/__init__.py b/src/transformers/models/pixtral/__init__.py
@@ -0,0 +1,70 @@
+# Copyright 2024 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from typing import TYPE_CHECKING
+
+from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
+
+
+_import_structure = {
+    "configuration_pixtral": ["PixtralVisionConfig"],
+    "processing_pixtral": ["PixtralProcessor"],
+}
+
+
+try:
+    if not is_torch_available():
+        raise OptionalDependencyNotAvailable()
+except OptionalDependencyNotAvailable:
+    pass
+else:
+    _import_structure["modeling_pixtral"] = [
+        "PixtralModel",
+        "PixtralPreTrainedModel",
+    ]
+
+try:
+    if not is_vision_available():
+        raise OptionalDependencyNotAvailable()
+except OptionalDependencyNotAvailable:
+    pass
+else:
+    _import_structure["image_processing_pixtral"] = ["PixtralImageProcessor"]
+
+
+if TYPE_CHECKING:
+    from .configuration_pixtral import PixtralProcessor, PixtralVisionConfig
+
+    try:
+        if not is_torch_available():
+            raise OptionalDependencyNotAvailable()
+    except OptionalDependencyNotAvailable:
+        pass
+    else:
+        from .modeling_pixtral import (
+            PixtralModel,
+            PixtralPreTrainedModel,
+        )
+
+    try:
+        if not is_vision_available():
+            raise OptionalDependencyNotAvailable()
+    except OptionalDependencyNotAvailable:
+        pass
+    else:
+        from .image_processing_pixtral import PixtralImageProcessor
+
+else:
+    import sys
+
+    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)