Update README.md

README.md

@@ -15,9 +15,23 @@ model-index:
   results: []
 ---
 
-# Alejandroolmedo/OpenThinker-32B-Q8-mlx
+# About:
 
-The Model [Alejandroolmedo/OpenThinker-32B-Q8-mlx](https://huggingface.co/Alejandroolmedo/OpenThinker-32B-Q8-mlx) was converted to MLX format from [open-thoughts/OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) using mlx-lm version **0.20.5**.
+**A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.**
+
+**This model is a fine-tuned version of **[**__Qwen/Qwen2.5-32B-Instruct__**](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)** on the **[**__OpenThoughts-114k__**](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)** dataset.**
+
+*Special thanks to the folks at Open Thoughts for fine-tuning this version of Qwen/Qwen2.5-32B-Instruct. More information about it can be found here:* 
+
+[https://huggingface.co/open-thoughts/OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) (Base Model)
+
+[https://github.com/open-thoughts/open-thoughts](https://github.com/open-thoughts/open-thoughts) (Open Thoughts Git Repo)
+
+ I simply converted it to MLX format with a quantization of 8-bit for better performance on Apple Silicon Macs (M1,M2,M3,M4 Chips).
+
+# Alejandroolmedo/OpenThinker-32B-8bit-mlx
+
+The Model [Alejandroolmedo/OpenThinker-32B-8bit-mlx](https://huggingface.co/Alejandroolmedo/OpenThinker-32B-8bit-mlx) was converted to MLX format from [open-thoughts/OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) using mlx-lm version **0.20.5**.
 
 ## Use with mlx
 
@@ -28,7 +42,7 @@ pip install mlx-lm
 ```python
 from mlx_lm import load, generate
 
-model, tokenizer = load("Alejandroolmedo/OpenThinker-32B-Q8-mlx")
+model, tokenizer = load("Alejandroolmedo/OpenThinker-32B-8bit-mlx")
 
 prompt="hello"