### Generation with Quantization import logging import torch from tensorrt_llm import LLM, SamplingParams from tensorrt_llm.llmapi import QuantAlgo, QuantConfig major, minor = torch.cuda.get_device_capability() post_ada = major > 8 or (major == 8 and minor >= 9) quant_configs = [ QuantConfig(quant_algo=QuantAlgo.W4A16_AWQ), ] if post_ada: quant_configs.append( QuantConfig(quant_algo=QuantAlgo.FP8, kv_cache_quant_algo=QuantAlgo.FP8)) else: logging.error( "FP8 quantization only works on post-ada GPUs, skipped in the example.") for quant_config in quant_configs: llm = LLM( model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", # define the quantization config to trigger built-in end-to-end quantization. quant_config=quant_config) # Sample prompts. prompts = [ "Hello, my name is", "The president of the United States is", "The capital of France is", "The future of AI is", ] # Create a sampling params. sampling_params = SamplingParams(temperature=0.8, top_p=0.95) for output in llm.generate(prompts, sampling_params): print( f"Prompt: {output.prompt!r}, Generated text: {output.outputs[0].text!r}" ) # Got output like # Prompt: 'Hello, my name is', Generated text: 'Jane Smith. I am a resident of the city. Can you tell me more about the public services provided in the area?' # Prompt: 'The president of the United States is', Generated text: 'considered the head of state, and the vice president of the United States is considered the head of state. President and Vice President of the United States (US)' # Prompt: 'The capital of France is', Generated text: 'located in Paris, France. The population of Paris, France, is estimated to be 2 million. France is home to many famous artists, including Picasso' # Prompt: 'The future of AI is', Generated text: 'an open and collaborative project. The project is an ongoing effort, and we invite participation from members of the community.\n\nOur community is'