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README.md

@@ -1,20 +1,21 @@
 ---
-license: apache-2.0
-license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
+base_model: TheBlueObserver/Qwen2.5-1.5B-Instruct
 language:
 - en
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
 pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-1.5B-Instruct
 tags:
 - chat
 - mlx
-library_name: transformers
+- mlx
 ---
 
-# theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f
+# TheBlueObserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f
 
-The Model [theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f](https://huggingface.co/theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f) was
-converted to MLX format from [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+The Model [TheBlueObserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f](https://huggingface.co/TheBlueObserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f) was
+converted to MLX format from [TheBlueObserver/Qwen2.5-1.5B-Instruct](https://huggingface.co/TheBlueObserver/Qwen2.5-1.5B-Instruct)
 using mlx-lm version **0.20.2**.
 
 ## Use with mlx
@@ -26,7 +27,7 @@ pip install mlx-lm
 ```python
 from mlx_lm import load, generate
 
-model, tokenizer = load("theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f")
+model, tokenizer = load("TheBlueObserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f")
 
 prompt="hello"