Add Aria

docs/source/en/_toctree.yml

@@ -810,6 +810,8 @@
         title: ALIGN
       - local: model_doc/altclip
         title: AltCLIP
+      - local: model_doc/aria
+        title: Aria
       - local: model_doc/blip
         title: BLIP
       - local: model_doc/blip-2

docs/source/en/index.md

@@ -62,6 +62,8 @@ Flax), PyTorch, and/or TensorFlow.
 |                        [ALBERT](model_doc/albert)                        |       ✅        |         ✅         |      ✅      |
 |                         [ALIGN](model_doc/align)                         |       ✅        |         ❌         |      ❌      |
 |                       [AltCLIP](model_doc/altclip)                       |       ✅        |         ❌         |      ❌      |
+|                          [Aria](model_doc/aria)                          |       ✅        |         ❌         |      ❌      |
+|                     [AriaText](model_doc/aria_text)                      |       ✅        |         ❌         |      ❌      |
 | [Audio Spectrogram Transformer](model_doc/audio-spectrogram-transformer) |       ✅        |         ❌         |      ❌      |
 |                    [Autoformer](model_doc/autoformer)                    |       ✅        |         ❌         |      ❌      |
 |                          [Bark](model_doc/bark)                          |       ✅        |         ❌         |      ❌      |
@@ -172,6 +174,7 @@ Flax), PyTorch, and/or TensorFlow.
 |                       [IDEFICS](model_doc/idefics)                       |       ✅        |         ✅         |      ❌      |
 |                      [Idefics2](model_doc/idefics2)                      |       ✅        |         ❌         |      ❌      |
 |                      [Idefics3](model_doc/idefics3)                      |       ✅        |         ❌         |      ❌      |
+|          [Idefics3VisionTransformer](model_doc/idefics3_vision)          |       ❌        |         ❌         |      ❌      |
 |                      [ImageGPT](model_doc/imagegpt)                      |       ✅        |         ❌         |      ❌      |
 |                      [Informer](model_doc/informer)                      |       ✅        |         ❌         |      ❌      |
 |                  [InstructBLIP](model_doc/instructblip)                  |       ✅        |         ❌         |      ❌      |

docs/source/en/model_doc/aria.md

@@ -0,0 +1,106 @@
+<!--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.
+
+-->
+
+# Aria
+
+## Overview
+
+The Aria model was proposed in [Aria: An Open Multimodal Native Mixture-of-Experts Model](https://huggingface.co/papers/2410.05993) by Li et al. from the Rhymes.AI team.
+
+Aria is an open multimodal-native model with best-in-class performance across a wide range of multimodal, language, and coding tasks. It has a Mixture-of-Experts architecture, with respectively 3.9B and 3.5B activated parameters per visual token and text token. 
+
+The abstract from the paper is the following:
+
+*Information comes in diverse modalities. Multimodal native AI models are essential to integrate real-world information and deliver comprehensive understanding. While proprietary multimodal native models exist, their lack of openness imposes obstacles for adoptions, let alone adaptations. To fill this gap, we introduce Aria, an open multimodal native model with best-in-class performance across a wide range of multimodal, language, and coding tasks. Aria is a mixture-of-expert model with 3.9B and 3.5B activated parameters per visual token and text token, respectively. It outperforms Pixtral-12B and Llama3.2-11B, and is competitive against the best proprietary models on various multimodal tasks. We pre-train Aria from scratch following a 4-stage pipeline, which progressively equips the model with strong capabilities in language understanding, multimodal understanding, long context window, and instruction following. We open-source the model weights along with a codebase that facilitates easy adoptions and adaptations of Aria in real-world applications.*
+
+This model was contributed by [m-ric](https://huggingface.co/m-ric).
+The original code can be found [here](https://github.com/rhymes-ai/Aria).
+
+## Usage tips
+
+Here's how to use the model for vision tasks:
+```python
+import requests
+import torch
+from PIL import Image
+
+from transformers import AriaProcessor, AriaForConditionalGeneration
+
+model_id_or_path = "rhymes-ai/Aria"
+
+model = AriaForConditionalGeneration.from_pretrained(
+    model_id_or_path, device_map="auto"
+)
+
+processor = AriaProcessor.from_pretrained(model_id_or_path)
+
+image = Image.open(requests.get("http://images.cocodataset.org/val2017/000000039769.jpg", stream=True).raw)
+
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {"type": "image"},
+            {"text": "what is the image?", "type": "text"},
+        ],
+    }
+]
+
+text = processor.apply_chat_template(messages, add_generation_prompt=True)
+inputs = processor(text=text, images=image, return_tensors="pt")
+inputs.to(model.device)
+
+output = model.generate(
+    **inputs,
+    max_new_tokens=15,
+    stop_strings=["<|im_end|>"],
+    tokenizer=processor.tokenizer,
+    do_sample=True,
+    temperature=0.9,
+)
+output_ids = output[0][inputs["input_ids"].shape[1]:]
+response = processor.decode(output_ids, skip_special_tokens=True)
+```
+
+
+## AriaImageProcessor
+
+[[autodoc]] AriaImageProcessor
+
+## AriaProcessor
+
+[[autodoc]] AriaProcessor
+
+## AriaTextConfig
+
+[[autodoc]] AriaTextConfig
+
+## AriaConfig
+
+[[autodoc]] AriaConfig
+
+## AriaTextModel
+
+[[autodoc]] AriaTextModel
+
+## AriaTextForCausalLM
+
+[[autodoc]] AriaTextForCausalLM
+
+## AriaForConditionalGeneration
+
+[[autodoc]] AriaForConditionalGeneration
+    - forward

docs/source/en/model_doc/idefics3.md

@@ -51,6 +51,13 @@ This model was contributed by [amyeroberts](https://huggingface.co/amyeroberts)
 
 [[autodoc]] Idefics3Config
 
+## Idefics3VisionConfig
+
+[[autodoc]] Idefics3VisionConfig
+
+## Idefics3VisionTransformer
+
+[[autodoc]] Idefics3VisionTransformer
 
 ## Idefics3Model
 

docs/source/en/perf_infer_gpu_one.md

@@ -37,6 +37,7 @@ FlashAttention-2 is experimental and may change considerably in future versions.
 2. partitioning the work between GPU threads to reduce communication and shared memory reads/writes between them
 
 FlashAttention-2 is currently supported for the following architectures:
+* [Aria](https://huggingface.co/docs/transformers/model_doc/aria#transformers.AriaForConditionalGeneration)
 * [Bark](https://huggingface.co/docs/transformers/model_doc/bark#transformers.BarkModel)
 * [Bart](https://huggingface.co/docs/transformers/model_doc/bart#transformers.BartModel)
 * [Chameleon](https://huggingface.co/docs/transformers/model_doc/chameleon#transformers.Chameleon)
@@ -216,6 +217,7 @@ PyTorch's [`torch.nn.functional.scaled_dot_product_attention`](https://pytorch.o
 
 For now, Transformers supports SDPA inference and training for the following architectures:
 * [Albert](https://huggingface.co/docs/transformers/model_doc/albert#transformers.AlbertModel)
+* [Aria](https://huggingface.co/docs/transformers/model_doc/aria#transformers.AriaForConditionalGeneration)
 * [Audio Spectrogram Transformer](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer#transformers.ASTModel)
 * [Bart](https://huggingface.co/docs/transformers/model_doc/bart#transformers.BartModel)
 * [Bert](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertModel)

src/transformers/__init__.py

@@ -170,6 +170,11 @@
         "AltCLIPTextConfig",
         "AltCLIPVisionConfig",
     ],
+    "models.aria": [
+        "AriaConfig",
+        "AriaProcessor",
+        "AriaTextConfig",
+    ],
     "models.audio_spectrogram_transformer": [
         "ASTConfig",
         "ASTFeatureExtractor",
@@ -1176,6 +1181,7 @@
     _import_structure["image_processing_base"] = ["ImageProcessingMixin"]
     _import_structure["image_processing_utils"] = ["BaseImageProcessor"]
     _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
+    _import_structure["models.aria"].extend(["AriaImageProcessor"])
     _import_structure["models.beit"].extend(["BeitFeatureExtractor", "BeitImageProcessor"])
     _import_structure["models.bit"].extend(["BitImageProcessor"])
     _import_structure["models.blip"].extend(["BlipImageProcessor"])
@@ -1406,6 +1412,15 @@
             "AltCLIPVisionModel",
         ]
     )
+    _import_structure["models.aria"].extend(
+        [
+            "AriaForConditionalGeneration",
+            "AriaPreTrainedModel",
+            "AriaTextForCausalLM",
+            "AriaTextModel",
+            "AriaTextPreTrainedModel",
+        ]
+    )
     _import_structure["models.audio_spectrogram_transformer"].extend(
         [
             "ASTForAudioClassification",
@@ -2461,6 +2476,8 @@
             "Idefics3Model",
             "Idefics3PreTrainedModel",
             "Idefics3Processor",
+            "Idefics3VisionConfig",
+            "Idefics3VisionTransformer",
         ]
     )
     _import_structure["models.ijepa"].extend(
@@ -5033,6 +5050,11 @@
         AltCLIPTextConfig,
         AltCLIPVisionConfig,
     )
+    from .models.aria import (
+        AriaConfig,
+        AriaProcessor,
+        AriaTextConfig,
+    )
     from .models.audio_spectrogram_transformer import (
         ASTConfig,
         ASTFeatureExtractor,
@@ -6096,6 +6118,7 @@
         from .image_processing_base import ImageProcessingMixin
         from .image_processing_utils import BaseImageProcessor
         from .image_utils import ImageFeatureExtractionMixin
+        from .models.aria import AriaImageProcessor
         from .models.beit import BeitFeatureExtractor, BeitImageProcessor
         from .models.bit import BitImageProcessor
         from .models.blip import BlipImageProcessor
@@ -6325,6 +6348,13 @@
             AltCLIPTextModel,
             AltCLIPVisionModel,
         )
+        from .models.aria import (
+            AriaForConditionalGeneration,
+            AriaPreTrainedModel,
+            AriaTextForCausalLM,
+            AriaTextModel,
+            AriaTextPreTrainedModel,
+        )
         from .models.audio_spectrogram_transformer import (
             ASTForAudioClassification,
             ASTModel,
@@ -7189,6 +7219,8 @@
             Idefics3Model,
             Idefics3PreTrainedModel,
             Idefics3Processor,
+            Idefics3VisionConfig,
+            Idefics3VisionTransformer,
         )
         from .models.ijepa import (
             IJepaForImageClassification,

src/transformers/generation/utils.py

@@ -1465,6 +1465,7 @@ def _prepare_generated_length(
         elif (
             model_input_name == "inputs_embeds"
             and input_ids_length != inputs_tensor.shape[1]
+            and input_ids_length != 0
             and not self.config.is_encoder_decoder
         ):
             generation_config.max_length -= inputs_tensor.shape[1]

src/transformers/models/__init__.py

@@ -16,6 +16,7 @@
     albert,
     align,
     altclip,
+    aria,
     audio_spectrogram_transformer,
     auto,
     autoformer,

src/transformers/models/aria/__init__.py

@@ -0,0 +1,30 @@
+# 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 _LazyModule
+from ...utils.import_utils import define_import_structure
+
+
+if TYPE_CHECKING:
+    from .configuration_aria import *
+    from .image_processing_aria import *
+    from .modeling_aria import *
+    from .processing_aria import *
+
+else:
+    import sys
+
+    _file = globals()["__file__"]
+    sys.modules[__name__] = _LazyModule(__name__, _file, define_import_structure(_file), module_spec=__spec__)