Update README.md

README.md

@@ -7,9 +7,23 @@ tags:
 base_model: zed-industries/zeta
 ---
 
-# Alejandroolmedo/zeta-Q8-mlx
+# **About:**
 
-The Model [Alejandroolmedo/zeta-Q8-mlx](https://huggingface.co/Alejandroolmedo/zeta-Q8-mlx) was converted to MLX format from [zed-industries/zeta](https://huggingface.co/zed-industries/zeta) using mlx-lm version **0.20.5**.
+**Tuned from Qwen2.5 coder for coding tasks**
+
+- Its a fine-tuned version of Qwen2.5-Coder-7B to support [**__edit prediction__**](https://zed.dev/edit-prediction) in Zed. Fine-tuned using [__zeta dataset__](https://huggingface.co/datasets/zed-industries/zeta).
+
+*Special thanks to the folks at Zed Industries for fine-tuning this version of* *Qwen2.5-Coder-7B*. More information about the model can be found here:
+
+[https://huggingface.co/zed-industries/zeta](https://huggingface.co/zed-industries/zeta) (Base Model)
+
+[https://huggingface.co/lmstudio-community/zeta-GGUF](https://huggingface.co/lmstudio-community/zeta-GGUF) (GGUF Version)
+
+I simply converted it to MLX format (using mlx-lm version **0.20.5**.) with a quantization of 8-bit for better performance on Apple Silicon Macs (M1,M2,M3,M4 Chips).
+
+# Alejandroolmedo/zeta-8bit-mlx
+
+The Model [Alejandroolmedo/zeta-8bit-mlx](https://huggingface.co/Alejandroolmedo/zeta-8bit-mlx) was converted to MLX format from [zed-industries/zeta](https://huggingface.co/zed-industries/zeta) using mlx-lm version **0.20.5**.
 
 ## Use with mlx
 
@@ -20,7 +34,7 @@ pip install mlx-lm
 ```python
 from mlx_lm import load, generate
 
-model, tokenizer = load("Alejandroolmedo/zeta-Q8-mlx")
+model, tokenizer = load("Alejandroolmedo/zeta-8bit-mlx")
 
 prompt="hello"