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update pp document (#11421)

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SONG Ge 2024-06-25 10:17:20 +08:00 committed by GitHub
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python/llm/example/GPU/Pipeline-Parallel-Inference/README.md
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@ -59,6 +59,7 @@ For optimal performance, it is recommended to set several environment variables.
You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Llama2 / Llama3 to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
```bash
pip install transformers==4.37.0
bash run_llama_arc_2_card.sh
```
@ -167,6 +168,7 @@ bash run_yi_arc_2_card.sh
You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Codellama to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
```bash
pip install transformers==4.37.0
bash run_codellama_arc_2_card.sh
```
@ -182,6 +184,7 @@ bash run_codellama_arc_2_card.sh
You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Solar to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
```bash
pip install transformers==4.37.0
bash run_solar_arc_2_card.sh
```