added more clarity about mlx-lm

README.md

@@ -280,7 +280,7 @@ base_model:
 
 # MLX Runtime (Apple silicon) — Added Files & Usage
 
-This fork adds a lightweight MLX runtime so you can run the original MobileLLM‑R1‑950M weights with Apple’s MLX on Apple silicon. It keeps the original weights (`model.safetensors`) and tokenizer; only the runtime is added.
+This fork adds a lightweight MLX runtime so you can run the original MobileLLM‑R1‑950M weights with Apple’s MLX on Apple silicon. It keeps the original weights (`model.safetensors`) and tokenizer; only the runtime is added. Additional code is provided to reproduce the (also included) mlx-lm conversion and 4-bit quant, though some manual modifications are needed to mlx-lm at this time to get it to run.
 
 ## Technical Documentation
 
@@ -334,6 +334,8 @@ uv sync
 
 # 3. (Optional) Add the torch group if you plan to customize/train models
 uv sync --extra torch
+```
+
 
 ### Without uv
 If you prefer pip/venv, a `requirements.txt` is provided: