[Doc] Move examples into categories (#11840)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

examples/offline_inference/gguf_inference.py

@@ -0,0 +1,38 @@
+from huggingface_hub import hf_hub_download
+
+from vllm import LLM, SamplingParams
+
+
+def run_gguf_inference(model_path):
+    PROMPT_TEMPLATE = "<|system|>\n{system_message}</s>\n<|user|>\n{prompt}</s>\n<|assistant|>\n"  # noqa: E501
+    system_message = "You are a friendly chatbot who always responds in the style of a pirate."  # noqa: E501
+    # Sample prompts.
+    prompts = [
+        "How many helicopters can a human eat in one sitting?",
+        "What's the future of AI?",
+    ]
+    prompts = [
+        PROMPT_TEMPLATE.format(system_message=system_message, prompt=prompt)
+        for prompt in prompts
+    ]
+    # Create a sampling params object.
+    sampling_params = SamplingParams(temperature=0, max_tokens=128)
+
+    # Create an LLM.
+    llm = LLM(model=model_path,
+              tokenizer="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+              gpu_memory_utilization=0.95)
+
+    outputs = llm.generate(prompts, sampling_params)
+    # Print the outputs.
+    for output in outputs:
+        prompt = output.prompt
+        generated_text = output.outputs[0].text
+        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
+
+
+if __name__ == "__main__":
+    repo_id = "TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF"
+    filename = "tinyllama-1.1b-chat-v1.0.Q4_0.gguf"
+    model = hf_hub_download(repo_id, filename=filename)
+    run_gguf_inference(model)