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Standardise org name.
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@ -21,7 +21,7 @@ weights you will need to request access from Meta:
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- [Request Llama v2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
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> [!TIP]
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> Alternatively, you can also download a few converted checkpoints from the [mlx-community](https://huggingface.co/mlx-community) community organisation on Hugging Face and skip the conversion step.
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> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
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You can download the TinyLlama models directly from [Hugging
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Face](https://huggingface.co/TinyLlama).
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@ -29,7 +29,7 @@ python convert.py
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The conversion script will save the converted weights in the same location.
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> [!TIP]
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> Alternatively, you can also download a few converted checkpoints from the [mlx-community](https://huggingface.co/mlx-community) community organisation on Hugging Face and skip the conversion step.
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> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
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### Run
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@ -18,7 +18,7 @@ python convert.py
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This will make the `weights.npz` file which MLX can read.
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> [!TIP]
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> Alternatively, you can also download a few converted checkpoints from the [mlx-community](https://huggingface.co/mlx-community) community organisation on Hugging Face and skip the conversion step.
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> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
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## Generate
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