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@@ -28,7 +28,7 @@ I simply converted it to MLX format with a quantization of 6-bits for better per
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  # Alejandroolmedo/DeepScaleR-1.5B-Preview-Q6-mlx
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- The Model [Alejandroolmedo/DeepScaleR-1.5B-Preview-Q6-mlx](https://huggingface.co/Alejandroolmedo/DeepScaleR-1.5B-Preview-Q6-mlx) was converted to MLX format from [agentica-org/DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview) using mlx-lm version **0.20.5**.
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  ## Use with mlx
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@@ -39,7 +39,7 @@ pip install mlx-lm
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  ```python
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  from mlx_lm import load, generate
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- model, tokenizer = load("Alejandroolmedo/DeepScaleR-1.5B-Preview-Q6-mlx")
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  prompt="hello"
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  # Alejandroolmedo/DeepScaleR-1.5B-Preview-Q6-mlx
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+ The Model [Alejandroolmedo/DeepScaleR-1.5B-Preview-6bit-mlx](https://huggingface.co/Alejandroolmedo/DeepScaleR-1.5B-Preview-6bit-mlx) was converted to MLX format from [agentica-org/DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview) using mlx-lm version **0.20.5**.
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  ## Use with mlx
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  ```python
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  from mlx_lm import load, generate
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+ model, tokenizer = load("Alejandroolmedo/DeepScaleR-1.5B-Preview-6bit-mlx")
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  prompt="hello"
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