Update README.md

README.md

@@ -69,6 +69,30 @@ The model was evaluated on a representative subset of the **CETVEL Benchmark Sui
 
 Because Diffutron is a Masked Diffusion Language Model, it requires inference strategies distinct from standard causal generation. We recommend using the `dllm` library or custom generation loops tailored for discrete diffusion. 
 
+### 1. Install the dllm Library:
+```bash
+git clone https://github.com/Diffutron/dllm.git
+cd dllm
+pip install -e .
+```
+### 2. Chat via Interaction Mode:
+
+```bash
+python -u examples/bert/chat.py \
+    --model_name_or_path "diffutron/DiffutronLM-0.3B-Instruct" \
+    --chat True \
+    --steps 64 \
+    --max_new_tokens 64 \
+    --temperature 0.1 \
+    --block_length 32 \
+    --repetition_penalty 1.2 \
+    --remasking "low_confidence" \
+    --stochastic_transfer False \
+    --cfg_scale 0.0
+```
+
+For other inference modes, see [dllm](https://github.com/Diffutron/dllm) library.
+
 ### Generation Parameters Used in Paper:
 * **Longer Context:** Steps: 128, Temp: 0.1, Block Length: 32, Repetition Penalty: 1.2
 * **Shorter Context:** Steps: 64, Remask: `low_conf`, Stochastic: `False`, CFG: 0.0