base on DeepSeek-VL: Towards Real-World Vision-Language Understanding <!-- markdownlint-disable first-line-h1 --> <!-- markdownlint-disable html --> <!-- markdownlint-disable no-duplicate-header --> <div align="center"> <img src="images/logo.svg" width="60%" alt="DeepSeek LLM" /> </div> <hr> <div align="center"> <a href="https://www.deepseek.com/" target="_blank"> <img alt="Homepage" src="images/badge.svg" /> </a> <a href="https://huggingface.co/spaces/deepseek-ai/DeepSeek-VL-7B" target="_blank"> <img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DeepSeek%20VL-536af5?color=536af5&logoColor=white" /> </a> <a href="https://huggingface.co/deepseek-ai" target="_blank"> <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" /> </a> </div> <div align="center"> <a href="https://discord.gg/Tc7c45Zzu5" target="_blank"> <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" /> </a> <a href="images/qr.jpeg" target="_blank"> <img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" /> </a> <a href="https://twitter.com/deepseek_ai" target="_blank"> <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" /> </a> </div> <div align="center"> <a href="LICENSE-CODE"> <img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5de53?&color=f5de53"> </a> <a href="LICENSE-MODEL"> <img alt="Model License" src="https://img.shields.io/badge/Model_License-Model_Agreement-f5de53?&color=f5de53"> </a> </div> <p align="center"> <a href="#3-model-downloads"><b>📥 Model Download</b></a> | <a href="#4-quick-start"><b>⚡ Quick Start</b></a> | <a href="#5-license"><b>📜 License</b></a> | <a href="#6-citation"><b>📖 Citation</b></a> <br> <a href="https://arxiv.org/abs/2403.05525"><b>📄 Paper Link</b></a> | <a href="https://huggingface.co/papers/2403.05525"><b>🤗 Huggingface Paper Link</b></a> | <a href="https://huggingface.co/spaces/deepseek-ai/DeepSeek-VL-7B"><b>👁️ Demo</b></a> </p> ## 1. Introduction Introducing DeepSeek-VL, an open-source Vision-Language (VL) Model designed for real-world vision and language understanding applications. DeepSeek-VL possesses general multimodal understanding capabilities, capable of processing logical diagrams, web pages, formula recognition, scientific literature, natural images, and embodied intelligence in complex scenarios. [DeepSeek-VL: Towards Real-World Vision-Language Understanding](https://arxiv.org/abs/2403.05525) Haoyu Lu*, Wen Liu*, Bo Zhang**, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan (*Equal Contribution, **Project Lead)  ## 2. Release <details> <summary>✅ <b>2024-03-14</b>: Demo for DeepSeek-VL-7B available on <a href="https://huggingface.co/spaces/deepseek-ai/DeepSeek-VL-7B">Hugging Face</a>.</summary> <br>Check out the gradio demo of DeepSeek-VL-7B at <a href="https://huggingface.co/spaces/deepseek-ai/DeepSeek-VL-7B">https://huggingface.co/spaces/deepseek-ai/DeepSeek-VL-7B</a>. Experience its capabilities firsthand! </details> <details> <summary>✅ <b>2024-03-13</b>: Support DeepSeek-VL gradio demo. </details> <details> <summary>✅ <b>2024-03-11</b>: DeepSeek-VL family released, including <code>DeepSeek-VL-7B-base</code>, <code>DeepSeek-VL-7B-chat</code>, <code>DeepSeek-VL-1.3B-base</code>, and <code>DeepSeek-VL-1.3B-chat</code>.</summary> <br>The release includes a diverse set of models tailored for various applications within the DeepSeek-VL family. The models come in two sizes: 7B and 1.3B parameters, each offering base and chat variants to cater to different needs and integration scenarios. </details> ## 3. Model Downloads We release the DeepSeek-VL family, including 1.3B-base, 1.3B-chat, 7b-base and 7b-chat models, to the public. To support a broader and more diverse range of research within both academic and commercial communities. Please note that the use of this model is subject to the terms outlined in [License section](#5-license). Commercial usage is permitted under these terms. ### Huggingface | Model | Sequence Length | Download | |-----------------------|-----------------|-----------------------------------------------------------------------------| | DeepSeek-VL-1.3B-base | 4096 | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/deepseek-vl-1.3b-base) | | DeepSeek-VL-1.3B-chat | 4096 | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/deepseek-vl-1.3b-chat) | | DeepSeek-VL-7B-base | 4096 | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/deepseek-vl-7b-base) | | DeepSeek-VL-7B-chat | 4096 | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat) | ## 4. Quick Start ### Installation On the basis of `Python >= 3.8` environment, install the necessary dependencies by running the following command: ```shell pip install -e . ``` ### Simple Inference Example ```python import torch from transformers import AutoModelForCausalLM from deepseek_vl.models import VLChatProcessor, MultiModalityCausalLM from deepseek_vl.utils.io import load_pil_images # specify the path to the model model_path = "deepseek-ai/deepseek-vl-7b-chat" vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path) tokenizer = vl_chat_processor.tokenizer vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True) vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval() ## single image conversation example conversation = [ { "role": "User", "content": "<image_placeholder>Describe each stage of this image.", "images": ["./images/training_pipelines.jpg"], }, {"role": "Assistant", "content": ""}, ] ## multiple images (or in-context learning) conversation example # conversation = [ # { # "role": "User", # "content": "<image_placeholder>A dog wearing nothing in the foreground, " # "<image_placeholder>a dog wearing a santa hat, " # "<image_placeholder>a dog wearing a wizard outfit, and " # "<image_placeholder>what's the dog wearing?", # "images": [ # "images/dog_a.png", # "images/dog_b.png", # "images/dog_c.png", # "images/dog_d.png", # ], # }, # {"role": "Assistant", "content": ""} # ] # load images and prepare for inputs pil_images = load_pil_images(conversation) prepare_inputs = vl_chat_processor( conversations=conversation, images=pil_images, force_batchify=True ).to(vl_gpt.device) # run image encoder to get the image embeddings inputs_embeds = vl_gpt.prepare_inputs_embeds(**prepare_inputs) # run the model to get the response outputs = vl_gpt.language_model.generate( inputs_embeds=inputs_embeds, attention_mask=prepare_inputs.attention_mask, pad_token_id=tokenizer.eos_token_id, bos_token_id=tokenizer.bos_token_id, eos_token_id=tokenizer.eos_token_id, max_new_tokens=512, do_sample=False, use_cache=True ) answer = tokenizer.decode(outputs[0].cpu().tolist(), skip_special_tokens=True) print(f"{prepare_inputs['sft_format'][0]}", answer) ``` ### CLI Chat ```bash python cli_chat.py --model_path "deepseek-ai/deepseek-vl-7b-chat" # or local path python cli_chat.py --model_path "local model path" ``` ### Gradio Demo ```bash pip install -e .[gradio] python deepseek_vl/serve/app_deepseek.py ```  Have Fun! ## 5. License This code repository is licensed under [the MIT License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-CODE). The use of DeepSeek-VL Base/Chat models is subject to [DeepSeek Model License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-MODEL). DeepSeek-VL series (including Base and Chat) supports commercial use. ## 6. Citation ``` @misc{lu2024deepseekvl, title={DeepSeek-VL: Towards Real-World Vision-Language Understanding}, author={Haoyu Lu and Wen Liu and Bo Zhang and Bingxuan Wang and Kai Dong and Bo Liu and Jingxiang Sun and Tongzheng Ren and Zhuoshu Li and Hao Yang and Yaofeng Sun and Chengqi Deng and Hanwei Xu and Zhenda Xie and Chong Ruan}, year={2024}, eprint={2403.05525}, archivePrefix={arXiv}, primaryClass={cs.AI} } ``` ## 7. Contact If you have any questions, please raise an issue or contact us at [[email protected]](mailto:[email protected]). ", Assign "at most 3 tags" to the expected json: {"id":"8498","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"