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README.md

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-# Alejandroolmedo/OpenThinker-32B-Q4-mlx
+# **About:**
+
+**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 dataset__**](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)** dataset. This model improves upon the **[**__Bespoke-Stratos-32B model__**](https://huggingface.co/bespokelabs/Bespoke-Stratos-32B)**, which used 17k examples (**[**__Bespoke-Stratos-17k dataset__**](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)**).**
+
+*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 (using mlx-lm version **0.20.5**.) with a quantization of 4-bit for better performance on Apple Silicon Macs (M1,M2,M3,M4 Chips).
+
+## Other Types:
+| Link | Type | Size| Notes |
+|-------|-----------|-----------|-----------|
+| [MLX] (https://huggingface.co/Alejandroolmedo/OpenThinker-32B-8bit-mlx) | 8-bit | 34.80 GB | **Best Quality** |
+| [MLX] (https://huggingface.co/Alejandroolmedo/OpenThinker-32B-4bit-mlx) | 4-bit | 18.40 GB | Good Quality|
+
+
+# Alejandroolmedo/OpenThinker-32B-4bit-mlx
 
 The Model [Alejandroolmedo/OpenThinker-32B-4bit-mlx](https://huggingface.co/Alejandroolmedo/OpenThinker-32B-4bit-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**.