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Update Janus-Pro GPU example (#12906)

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Yuwen Hu 2025-02-28 15:39:03 +08:00 committed by GitHub
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python/llm/example/GPU/HuggingFace/Multimodal/janus-pro/README.md
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@ -76,9 +76,9 @@ In [generate.py](./generate.py), we show a use case for a Janus-Pro model to pre
- Generate with text input - Generate with text input
- [deepseek-ai/Janus-Pro-7B](https://huggingface.co/deepseek-ai/Janus-Pro-7B) - [deepseek-ai/Janus-Pro-7B](https://huggingface.co/deepseek-ai/Janus-Pro-7B)
```bash ```bash
python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --n-predict N_PREDICT
``` ```
- [deepseek-ai/Janus-Pro-1B](https://huggingface.co/deepseek-ai/Janus-Pro-7B) - [deepseek-ai/Janus-Pro-1B](https://huggingface.co/deepseek-ai/Janus-Pro-1B)
```bash ```bash
python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --n-predict N_PREDICT python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --n-predict N_PREDICT
``` ```
@ -86,15 +86,15 @@ In [generate.py](./generate.py), we show a use case for a Janus-Pro model to pre
- Generate with text + image inputs - Generate with text + image inputs
- [deepseek-ai/Janus-Pro-7B](https://huggingface.co/deepseek-ai/Janus-Pro-7B) - [deepseek-ai/Janus-Pro-7B](https://huggingface.co/deepseek-ai/Janus-Pro-7B)
```bash ```bash
python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --image-path IMAGE_PATH --n-predict N_PREDICT python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --image-path IMAGE_PATH --n-predict N_PREDICT
``` ```
- [deepseek-ai/Janus-Pro-1B](https://huggingface.co/deepseek-ai/Janus-Pro-7B) - [deepseek-ai/Janus-Pro-1B](https://huggingface.co/deepseek-ai/Janus-Pro-1B)
```bash ```bash
python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --image-path IMAGE_PATH --n-predict N_PREDICT python generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --low-bit "sym_int8" --prompt PROMPT --image-path IMAGE_PATH --n-predict N_PREDICT
``` ```
> [!NOTE] > [!NOTE]
> For `deepseek-ai/Janus-Pro-1B`, we recommand IPEX-LLM INT8 (`sym_int8`) optimizations. > We recommand IPEX-LLM INT8 (`sym_int8`) optimizations for `deepseek-ai/Janus-Pro-1B` and `deepseek-ai/Janus-Pro-7B` to enhance output quality.
Arguments info: Arguments info:
- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for Janus-Pro model (e.g. `deepseek-ai/Janus-Pro-7B` or `deepseek-ai/Janus-Pro-1B`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'deepseek-ai/Janus-Pro-7B'`. - `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for Janus-Pro model (e.g. `deepseek-ai/Janus-Pro-7B` or `deepseek-ai/Janus-Pro-1B`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'deepseek-ai/Janus-Pro-7B'`.