Update README for new CLI #178
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lsy323
approved these changes
Sep 3, 2024
wang2yn84
requested changes
Sep 3, 2024
README.md
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| python run_interactive.py --model_name=$model_name --batch_size=128 --max_cache_length=2048 --quantize_weights=$quantize_weights --quantize_type=$quantize_type --quantize_kv_cache=$quantize_weights --checkpoint_path=$output_ckpt_dir --tokenizer_path=$tokenizer_path --sharding_config=default_shardings/$model_name.yaml | ||
| To pass hf token, add `--hf_token` flag | ||
| ``` | ||
| jpt serve --model_id --model_id meta-llama/Meta-Llama-3-8B-Instruct --hf_token=... |
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| * `--sharding_config=<path>` This makes use of alternative sharding config instead of | ||
| the ones in default_shardings directory. | ||
| Weights downloaded from HuggingFace will be stored by default in `checkpoints` folder. |
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Do we the options to store weight separately? Even we have problem storing the weights in gcp vm directly.
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For gs bucket it need to be brought locally or use mount using Fuse.
The working dir can be edited. Added paragraph to describe that.
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It'll be great if you can add how to change the working dir. Cuz for us, we also need to direct to the external ssd. I will approve the PR to unblock you for now.
FanhaiLu1
approved these changes
Sep 4, 2024
qihqi
changed the title
wang2yn84
approved these changes
Sep 10, 2024
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Update README to refer to new CLI instead of old scripts.
This README is not complete yet. But it will be completed with more details on flags before next release.