Fix MLX-VLM snippet and prio hf_xet for MLX models #1463
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Vaibhavs10
requested review from
SBrandeis,
gary149,
Wauplin,
julien-c,
pcuenca and
ngxson
as code owners
Vaibhavs10
commented
May 19, 2025
| @@ -1355,15 +1355,14 @@ model = SwarmFormerModel.from_pretrained("${model.id}") | |||
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| const mlx_unknown = (model: ModelData): string[] => [ | |||
| `# Download the model from the Hub | |||
| pip install huggingface_hub hf_transfer | |||
| pip install huggingface_hub[hf_xet] | |||
pcuenca
approved these changes
May 19, 2025
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| export HF_HUB_ENABLE_HF_TRANSFER=1 | ||
| export HF_XET_HIGH_PERFORMANCE=1 |
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I'd suggest we remove this to make everything simpler. In my experience it works fast enough without the flag.
| huggingface-cli download --local-dir ${nameWithoutNamespace(model.id)} ${model.id}`, | ||
| ]; | ||
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| const mlxlm = (model: ModelData): string[] => [ | ||
| `# Make sure mlx-lm is installed | ||
| pip install --upgrade mlx-lm | ||
| # pip install --upgrade mlx-lm |
Vaibhavs10
commented
May 20, 2025
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Simple PR to put pip install instructions in comments
and
hf_transfer->hf_xetfor MLX (since the models have moved over to xet backend.re: MLX VLM - currently there is a broken comment at the top here: https://huggingface.co/mlx-community/gemma-3-27b-it-qat-4bit?library=mlx