diff --git a/examples/low_level_api_inference.py b/examples/low_level_api_inference.py
new file mode 100644
index 0000000..3e8d9a9
--- /dev/null
+++ b/examples/low_level_api_inference.py
@@ -0,0 +1,41 @@
+""" Example of low-level API inference based on https://github.com/ggerganov/llama.cpp/issues/384#issuecomment-1480129622 
+"""
+import multiprocessing
+
+import llama_cpp
+
+N_THREADS = multiprocessing.cpu_count()
+
+prompt = b"\n\n### Instruction:\nWhat is the capital of France?\n\n### Response:\n"
+
+lparams = llama_cpp.llama_context_default_params()
+
+ctx = llama_cpp.llama_init_from_file(b"models/ggml-alpaca-7b-q4.bin", lparams)
+tmp = [0, 1, 2, 3]
+llama_cpp.llama_eval(ctx, (llama_cpp.c_int * len(tmp))(*tmp), len(tmp), 0, N_THREADS)
+
+embd_inp = (llama_cpp.llama_token * (len(prompt) + 1))()
+n_of_tok = llama_cpp.llama_tokenize(ctx, prompt, embd_inp, len(embd_inp), True)
+embd_inp = embd_inp[:n_of_tok]
+
+for i in range(len(embd_inp)):
+    llama_cpp.llama_eval(ctx, (llama_cpp.c_int * 1)(embd_inp[i]), 1, i, N_THREADS)
+
+prediction = b""
+embd = embd_inp
+
+n = 8
+
+for i in range(n):
+    id = llama_cpp.llama_sample_top_p_top_k(ctx, (llama_cpp.c_int * len(embd))(*embd), n_of_tok + i, 40, 0.8, 0.2, 1.0/0.85)
+
+    embd.append(id)
+
+    prediction += llama_cpp.llama_token_to_str(ctx, id)
+
+    llama_cpp.llama_eval(ctx, (llama_cpp.c_int * 1)(embd[-1]), 1, len(embd), N_THREADS)
+
+
+llama_cpp.llama_free(ctx)
+
+print(prediction.decode("utf-8"))
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