diff --git a/inference/huggingface/text-generation/test-falcon.py b/inference/huggingface/text-generation/test-falcon.py
new file mode 100644
index 000000000..e3829fcea
--- /dev/null
+++ b/inference/huggingface/text-generation/test-falcon.py
@@ -0,0 +1,30 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM, AutoConfig
+import transformers
+import torch
+import deepspeed
+import time
+from deepspeed.accelerator import get_accelerator
+
+model = "tiiuae/falcon-40b"
+
+tokenizer = AutoTokenizer.from_pretrained(model, use_fast=True)
+
+
+model = AutoModelForCausalLM.from_pretrained(model, trust_remote_code=True).bfloat16()
+model = deepspeed.init_inference(model, mp_size=4)
+
+
+input_prompt = [
+   "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:"
+   ]
+
+input_tokens = tokenizer.batch_encode_plus(input_prompt, return_tensors="pt",)
+
+for t in input_tokens:
+    if torch.is_tensor(input_tokens[t]):
+        input_tokens[t] = input_tokens[t].to(get_accelerator().current_device_name())
+input_tokens.pop('token_type_ids')
+
+sequences = model.generate(**input_tokens, min_length=200, max_length=300, do_sample=True)
+
+print(f"Result: {tokenizer.batch_decode(sequences, skip_special_tokens=True)[0]}")