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Update README.md

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@ -78,10 +78,11 @@ Alternatively, visit the [gemma.cpp](https://huggingface.co/models?other=gemma.c
models on the Hugging Face Hub. First go the the model repository of the model of interest models on the Hugging Face Hub. First go the the model repository of the model of interest
(see recommendations below). Then, click the `Files and versions` tab and download the (see recommendations below). Then, click the `Files and versions` tab and download the
model and tokenizer files. For programmatic downloading, if you have `huggingface_hub` model and tokenizer files. For programmatic downloading, if you have `huggingface_hub`
installed, you can also run: installed, you can also download by running:
``` ```
huggingface-cli download google/gemma-2b-cpp --local-dir build/ huggingface-cli login # Just the first time
huggingface-cli download google/gemma-2b-sfp-cpp --local-dir build/
``` ```
2B instruction-tuned (`it`) and pre-trained (`pt`) models: 2B instruction-tuned (`it`) and pre-trained (`pt`) models:
@ -106,7 +107,9 @@ huggingface-cli download google/gemma-2b-cpp --local-dir build/
> **Important**: We strongly recommend starting off with the `2b-it-sfp` model to > **Important**: We strongly recommend starting off with the `2b-it-sfp` model to
> get up and running. > get up and running.
### Step 2: Extract Files (if downloading from Kaggle) ### Step 2: Extract Files
If you downloaded the models from Hugging Face, skip to step 3.
After filling out the consent form, the download should proceed to retrieve a After filling out the consent form, the download should proceed to retrieve a
tar archive file `archive.tar.gz`. Extract files from `archive.tar.gz` (this can tar archive file `archive.tar.gz`. Extract files from `archive.tar.gz` (this can