abetlen
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
@@ -22,7 +22,7 @@ jobs:
       - name: Install huggingface-hub
         run: pip install huggingface-hub
       - name: Download model
-        run: huggingface-cli download ${{ env.REPO_ID }} ${{ env.MODEL_FILE }}
+        run: hf download ${{ env.REPO_ID }} ${{ env.MODEL_FILE }}
       - name: Cache model
         uses: actions/cache@v4
         with:

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+- fix(ci): Use the `hf` CLI instead of the deprecated `huggingface-cli` name in GitHub Actions and docs by @abetlen in #2149
+
 ## [0.3.16]
 
 - feat: Update llama.cpp to ggerganov/llama.cpp@4227c9be4268ac844921b90f31595f81236bd317

diff --git a/README.md b/README.md
@@ -328,7 +328,7 @@ llm = Llama.from_pretrained(
 )
 ```
 
-By default [`from_pretrained`](https://llama-cpp-python.readthedocs.io/en/latest/api-reference/#llama_cpp.Llama.from_pretrained) will download the model to the huggingface cache directory, you can then manage installed model files with the [`huggingface-cli`](https://huggingface.co/docs/huggingface_hub/en/guides/cli) tool.
+By default [`from_pretrained`](https://llama-cpp-python.readthedocs.io/en/latest/api-reference/#llama_cpp.Llama.from_pretrained) will download the model to the huggingface cache directory, you can then manage installed model files with the [`hf`](https://huggingface.co/docs/huggingface_hub/en/guides/cli) tool.
 
 ### Chat Completion
-Original file line number
+Diff line change
@@ Expand Up / @@ -328,7 +328,7 @@ llm = Llama.from_pretrained( @@
     )
     ```
-    By default [`from_pretrained`](https://llama-cpp-python.readthedocs.io/en/latest/api-reference/#llama_cpp.Llama.from_pretrained) will download the model to the huggingface cache directory, you can then manage installed model files with the [`huggingface-cli`](https://huggingface.co/docs/huggingface_hub/en/guides/cli) tool.
+    By default [`from_pretrained`](https://llama-cpp-python.readthedocs.io/en/latest/api-reference/#llama_cpp.Llama.from_pretrained) will download the model to the huggingface cache directory, you can then manage installed model files with the [`hf`](https://huggingface.co/docs/huggingface_hub/en/guides/cli) tool.
     ### Chat Completion
@@ Expand Down @@