diff --git a/examples/mistral/mixtral_fused.py b/examples/mistral/mixtral_fused.py
new file mode 100644
index 000000000..5aaf9652b
--- /dev/null
+++ b/examples/mistral/mixtral_fused.py
@@ -0,0 +1,42 @@
+from axolotl.monkeypatch.moe.moe import SparseMoeBlock
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+from transformers.models.mixtral.modeling_mixtral import MixtralSparseMoeBlock
+
+model_path = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+
+# Load model
+model = AutoModelForCausalLM.from_pretrained(model_path)
+
+for name, module in model.named_modules():
+    if isinstance(module, MixtralSparseMoeBlock):
+        smoe = SparseMoeBlock(
+            experts=module.experts,
+            gate=module.gate,
+            hidden_dim=module.hidden_dim,
+            ffn_dim=module.ffn_dim,
+            num_experts=module.num_experts,
+            top_k=module.top_k,
+        )
+        setattr(model, name, smoe)
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+# Convert prompt to tokens
+prompt_template = "[INST] {prompt} [/INST]"
+
+prompt = "You're standing on the surface of the Earth. "\
+        "You walk one mile south, one mile west and one mile north. "\
+        "You end up exactly where you started. Where are you?"
+
+tokens = tokenizer(
+    prompt_template.format(prompt=prompt), 
+    return_tensors='pt'
+).input_ids.cuda()
+
+# Generate output
+generation_output = model.generate(
+    tokens, 
+    streamer=streamer,
+    max_new_tokens=512
+)
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