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‎INSTALLATION.md‎

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- Install `flash-attn==2.3.6`:
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```bash
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pip install flash-attn==2.3.6 --no-build-isolation
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```
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Alternatively you can compile from source:
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```bash
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git clone https://github.com/Dao-AILab/flash-attention.git
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cd flash-attention
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- Install `timm==0.9.12` and `mmcv-full==1.6.2`:
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```bash
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pip install -U openmim
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pip install timm==0.9.12
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mim install mmcv-full==1.6.2
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pip install -U openmim
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mim install mmcv-full==1.6.2 # (optional, for mmsegmentation)
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```
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- Install `transformers==4.36.2`:
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```bash
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pip install opencv-python termcolor yacs pyyaml scipy
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pip install deepspeed==0.10.0
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pip install deepspeed==0.13.5
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pip install pycocoevalcap tqdm
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```

‎README.md‎

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- `2024/01/24`: InternVL-Chat-V1.1 is released, it supports Chinese and has stronger OCR capability, see [here](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1) or try our [demo](https://internvl.opengvlab.com/).
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- `2024/01/16`: We release our [customized mmcv/mmsegmentation/mmdetection code](https://github.com/OpenGVLab/InternVL-MMDetSeg), integrated with DeepSpeed, which can be used for training large-scale object detection and semantic segmentation models.
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## Compared with SOTA VLLMs
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<img width="1229" alt="image" src="https://github.com/OpenGVLab/InternVL/assets/23737120/e9065a58-86fa-47ef-be9a-eb734532e73f">
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**Vision Large Language Model**
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | ------------------------------------------------------------------------------------ | ---------------------------------- |
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| InternVL−Chat−V1.5 | 2024.04.18 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5) | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (🔥new)|
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| InternVL−Chat−V1.2−Plus | 2024.02.21 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) | more SFT data and stronger |
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| InternVL−Chat−V1.2 | 2024.02.11 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) | scaling up LLM to 34B |
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| InternVL−Chat−V1.1 | 2024.01.24 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1) | support Chinese and stronger OCR |
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| InternVL−Chat−19B−448px | 2024.02.03 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px) | 448 resolution |
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| InternVL−Chat−19B | 2023.12.25 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B) | English multimodal dialogue |
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| InternVL−Chat−13B | 2023.12.25 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B) | English multimodal dialogue |
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | ------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| InternVL−Chat−V1.5 | 2024.04.18 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5) | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (🔥new) |
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| InternVL−Chat−V1.2−Plus | 2024.02.21 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) | more SFT data and stronger |
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| InternVL−Chat−V1.2 | 2024.02.11 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) | scaling up LLM to 34B |
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| InternVL−Chat−V1.1 | 2024.01.24 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1) | support Chinese and stronger OCR |
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| InternVL−Chat−19B−448px | 2024.02.03 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px) | 448 resolution |
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| InternVL−Chat−19B | 2023.12.25 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B) | English multimodal dialogue |
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| InternVL−Chat−13B | 2023.12.25 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B) | English multimodal dialogue |
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**Vision-Language Foundation Model**
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | ---------------------------------------------------------------------- | -------------------------------- |
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| Model | Date | Download | Note |
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| ----------------------- | ---------- | ---------------------------------------------------------------------- | ---------------------------------------------------- |
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| InternViT−6B−448px−V1.5 | 2024.04.20 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5) | support dynamic resolution, super strong OCR (🔥new) |
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| InternViT−6B−448px−V1.2 | 2024.02.11 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2) | 448 resolution |
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| InternViT−6B−448px−V1.0 | 2024.01.30 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0) | 448 resolution |
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| InternViT−6B−224px | 2023.12.22 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-224px) | vision foundation model |
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| InternVL−14B−224px | 2023.12.22 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-14B-224px) | vision-language foundation model |
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| InternViT−6B−448px−V1.2 | 2024.02.11 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2) | 448 resolution |
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| InternViT−6B−448px−V1.0 | 2024.01.30 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0) | 448 resolution |
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| InternViT−6B−224px | 2023.12.22 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-224px) | vision foundation model |
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| InternVL−14B−224px | 2023.12.22 | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-14B-224px) | vision-language foundation model |
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## What can InternVL do?
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<summary>Launch a local chat demo (click to expand)</summary>
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**Launch a controller**
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```shell
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.controller --host 0.0.0.0 --port 10000
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```
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```shell
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.controller --host 0.0.0.0 --port 10000
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```
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**Launch a gradio web server**
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```shell
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.gradio_web_server --controller http://localhost:10000 --model-list-mode reload
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```
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**Launch a model worker**
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```shell
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40001 --worker http://localhost:40001 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# OpenGVLab/InternVL-Chat-V1-1
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40002 --worker http://localhost:40002 --model-path OpenGVLab/InternVL-Chat-V1-1
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# OpenGVLab/InternVL-Chat-V1-2
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40003 --worker http://localhost:40003 --model-path OpenGVLab/InternVL-Chat-V1-2
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# OpenGVLab/InternVL-Chat-V1-2-Plus
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40004 --worker http://localhost:40004 --model-path OpenGVLab/InternVL-Chat-V1-2-Plus
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# OpenGVLab/InternVL-Chat-V1-5
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40005 --worker http://localhost:40005 --model-path OpenGVLab/InternVL-Chat-V1-5
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```shell
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.gradio_web_server --controller http://localhost:10000 --model-list-mode reload
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**Launch a model worker**
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```shell
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
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# OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# run the command in the `internvl_chat_llava` folder
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python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40001 --worker http://localhost:40001 --model-path OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B
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# OpenGVLab/InternVL-Chat-V1-1
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40002 --worker http://localhost:40002 --model-path OpenGVLab/InternVL-Chat-V1-1
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# OpenGVLab/InternVL-Chat-V1-2
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40003 --worker http://localhost:40003 --model-path OpenGVLab/InternVL-Chat-V1-2
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# OpenGVLab/InternVL-Chat-V1-2-Plus
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40004 --worker http://localhost:40004 --model-path OpenGVLab/InternVL-Chat-V1-2-Plus
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# OpenGVLab/InternVL-Chat-V1-5
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# run the command in the `internvl_chat` folder
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python -m internvl.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40005 --worker http://localhost:40005 --model-path OpenGVLab/InternVL-Chat-V1-5
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```
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</details>
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