Update README.md

README.md

@@ -42,8 +42,6 @@ Built for **Apple Silicon** with Metal acceleration.
 pip install mlx-lm transformers
 ```
 
-Once set up, you can proceed to run the model by running the snippet below:
-
 ```python
 # Python API (uses tokenizer bundled with this repo)
 from mlx_lm import load, generate
@@ -81,10 +79,12 @@ Note: Small, domain-specific eval for quick sanity; not a benchmark suite.
 
 ## Conversion details (provenance)
 
+```bash
 python -m mlx_lm convert \
   --hf-path openai/gpt-oss-20b \
   --mlx-path gpt-oss-20b-mlx-q6-gs32 \
   --q-bits 6 --q-group-size 32 -q
+```
 
 - Some non-expert tensors (embeddings, norms, router) remain FP16.