Update README.md (#3)
Browse files- Update README.md (9465395562ca433bc53309102c15cccfa17573d2)
Co-authored-by: Suen.ZK <[email protected]>
README.md
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# ERNIE-4.5-VL-28B-A3B
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## ERNIE 4.5 Highlights
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The advanced capabilities of the ERNIE 4.5 models, particularly the MoE-based A47B and A3B series, are underpinned by several key technical innovations:
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## Quickstart
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### FastDeploy Inference
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Quickly deploy services using FastDeploy as shown below. For more detailed usage, refer to the [FastDeploy GitHub Repository](https://github.com/PaddlePaddle/FastDeploy).
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**Note**: For single-card deployment, at least 80GB of GPU memory is required.
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```bash
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python -m fastdeploy.entrypoints.openai.api_server \
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--model baidu/ERNIE-4.5-VL-28B-A3B-Paddle \
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--port 8180 \
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--metrics-port 8181 \
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--engine-worker-queue-port 8182 \
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--max-model-len 32768 \
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--enable-mm \
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--reasoning-parser ernie-45-vl \
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--max-num-seqs 32
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```
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The ERNIE-4.5-VL model supports enabling or disabling thinking mode through request parameters.
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#### Enable Thinking Mode
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```bash
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curl -X POST "http://0.0.0.0:8180/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [
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{"role": "user", "content": [
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{"type": "image_url", "image_url": {"url": "https://paddlenlp.bj.bcebos.com/datasets/paddlemix/demo_images/example2.jpg"}},
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{"type": "text", "text": "Descript this image"}
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]}
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],
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"metadata": {"enable_thinking": true}
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}'
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```
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#### Disable Thinking Mode
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```bash
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curl -X POST "http://0.0.0.0:8180/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [
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{"role": "user", "content": [
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{"type": "image_url", "image_url": {"url": "https://paddlenlp.bj.bcebos.com/datasets/paddlemix/demo_images/example2.jpg"}},
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{"type": "text", "text": "Descript this image"}
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]}
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],
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"metadata": {"enable_thinking": false}
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}'
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```
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### Using `transformers` library
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Here is an example of how to use the transformers library for inference:
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# ERNIE-4.5-VL-28B-A3B
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> [!NOTE]
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> Note: "**-Paddle**" models use [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) weights, while "**-PT**" models use Transformer-style PyTorch weights.
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## ERNIE 4.5 Highlights
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The advanced capabilities of the ERNIE 4.5 models, particularly the MoE-based A47B and A3B series, are underpinned by several key technical innovations:
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## Quickstart
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### Using `transformers` library
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Here is an example of how to use the transformers library for inference:
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