updata README.md

README.md

@@ -1,3 +1,105 @@
----
-license: apache-2.0
----
+# Valley 2.0
+## Introduction
+Valley [github](https://github.com/bytedance/Valley) is a cutting-edge multimodal large model designed to handle a variety of tasks involving text, images, and video data, which is developed by ByteDance. Our model not only
+
+- Achieved the best results in the inhouse e-commerce and short-video benchmarks
+- Demonstrated comparatively outstanding performance in the OpenCompass (average scores > 67) tests
+
+when evaluated against models of the same scale. 
+
+
+## Valley-Eagle
+The foundational version of Valley is a multimodal large model aligned with Siglip and Qwen2.5, incorporating LargeMLP and ConvAdapter to construct the projector. 
+
+- In the final version, we also referenced [Eagle](https://arxiv.org/pdf/2408.15998), introducing an additional VisionEncoder that can flexibly adjust the number of tokens and is parallelized with the original visual tokens. 
+- This enhancement supplements the model’s performance in extreme scenarios, and we chose the Qwen2vl VisionEncoder for this purpose. 
+
+and the model structure is shown as follows:
+
+<div style="display:flex;">
+  <img src="valley_structure.jpeg" alt="opencompass" style="height:600px;" />
+</div>
+
+
+## Release
+- [12/23] 🔥 Announcing [Valley-Qwen2.5-7B](https://huggingface.co/ByteDance)!
+
+## Environment Setup
+``` bash
+pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121
+pip install -r requirements.txt
+```
+
+## Inference Demo
+- Single image
+``` python
+from valley_eagle_chat import ValleyEagleChat
+model = ValleyEagleChat(
+    model_path='path/to/ckpt',
+    padding_side = 'left',
+)
+
+url = 'http://p16-goveng-va.ibyteimg.com/tos-maliva-i-wtmo38ne4c-us/4870400481414052507~tplv-wtmo38ne4c-jpeg.jpeg'
+img = urllib.request.urlopen(url=url, timeout=5).read()
+
+request = {
+    "chat_history": [
+        {'role': 'system', 'content': 'You are Valley, developed by ByteDance. Your are a helpfull Assistant.'},
+        {'role': 'user', 'content': 'Describe the given image.'},
+    ],
+    "images": [img],
+}
+
+result = model(request)
+print(f"\n>>> Assistant:\n")
+print(result)
+```
+
+- Video
+``` python
+from valley_eagle_chat import ValleyEagleChat
+import decord
+import requests
+import numpy as np
+from torchvision import transforms
+
+model = ValleyEagleChat(
+    model_path='path/to/ckpt',
+    padding_side = 'left',
+)
+
+url = 'https://videos.pexels.com/video-files/29641276/12753127_1920_1080_25fps.mp4'
+video_file = './video.mp4'
+response = requests.get(url)
+if response.status_code == 200:
+    with open("video.mp4", "wb") as f:
+        f.write(response.content)
+else:
+    print("download error!")
+    exit(1)
+
+video_reader = decord.VideoReader(video_file)
+decord.bridge.set_bridge("torch")
+video = video_reader.get_batch(
+    np.linspace(0,  len(video_reader) - 1, 8).astype(np.int_)
+).byte()
+print([transforms.ToPILImage()(image.permute(2, 0, 1)).convert("RGB") for image in video])
+
+request = {
+    "chat_history": [
+        {'role': 'system', 'content': 'You are Valley, developed by ByteDance. Your are a helpfull Assistant.'},
+        {'role': 'user', 'content': 'Describe the given video.'},
+    ],
+    "images": [transforms.ToPILImage()(image.permute(2, 0, 1)).convert("RGB") for image in video],
+}
+result = model(request)
+print(f"\n>>> Assistant:\n")
+print(result)
+```
+
+## License Agreement
+All of our open-source models are licensed under the Apache-2.0 license.
+
+
+## Citation
+Coming Soon!