Add/standardize MTP usage with the model's matching drafter

README.md

@@ -21,3 +21,33 @@ model, processor = load("ToPo-ToPo/gemma-4-E4B-it-qat-mlx-4bit")
 
 ## License
 Derivative of Google Gemma; governed by the Gemma Terms of Use (https://ai.google.dev/gemma/terms) and Prohibited Use Policy. Converted to MLX.
+
+## ⚡ Faster generation with MTP (speculative decoding, lossless)
+
+**Recommended drafter: `google/gemma-4-E4B-it-assistant`** — Google's official MTP drafter for this
+model. It loads **directly in mlx-vlm (no conversion needed)** and gives up to
+~3x faster generation (≈1.4–1.5x measured on short prompts); output is
+**identical** to non-MTP decoding.
+
+```python
+# requires:  pip install "mlx-vlm>=0.6.3"
+from mlx_vlm import load, generate
+from mlx_vlm.prompt_utils import apply_chat_template
+from mlx_vlm.utils import load_config
+
+model, processor = load("ToPo-ToPo/gemma-4-E4B-it-qat-mlx-4bit")
+draft_model, _   = load("google/gemma-4-E4B-it-assistant")
+config = load_config("ToPo-ToPo/gemma-4-E4B-it-qat-mlx-4bit")
+
+prompt = apply_chat_template(processor, config, "Hello!", num_images=0)
+out = generate(model, processor, prompt,
+               draft_model=draft_model, draft_kind="mtp", max_tokens=256)
+```
+
+CLI (draft_kind auto-detected):
+`mlx_vlm.generate --model ToPo-ToPo/gemma-4-E4B-it-qat-mlx-4bit --draft-model google/gemma-4-E4B-it-assistant`
+
+### Notes
+- `draft_kind="mtp"` is required in the Python API (the CLI auto-detects it).
+- Use **this model's own** drafter above — drafters are size-specific and not interchangeable across Gemma 4 variants.
+- Needs **mlx-vlm >= 0.6.3**. MTP is lossless — if output differs from non-MTP, your versions are mismatched.