Aqlm Example

Source vllm-project/vllm.

  1.  1import argparse
  2.  2
  3.  3from vllm import LLM, SamplingParams
  4.  4
  5.  5
  6.  6def main():
  7.  7
  8.  8    parser = argparse.ArgumentParser(description='AQLM examples')
  9.  9
  10. 10    parser.add_argument('--model',
  11. 11                        '-m',
  12. 12                        type=str,
  13. 13                        default=None,
  14. 14                        help='model path, as for HF')
  15. 15    parser.add_argument('--choice',
  16. 16                        '-c',
  17. 17                        type=int,
  18. 18                        default=0,
  19. 19                        help='known good models by index, [0-4]')
  20. 20    parser.add_argument('--tensor_parallel_size',
  21. 21                        '-t',
  22. 22                        type=int,
  23. 23                        default=1,
  24. 24                        help='tensor parallel size')
  25. 25
  26. 26    args = parser.parse_args()
  27. 27
  28. 28    models = [
  29. 29        "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-1x16-hf",
  30. 30        "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-2x8-hf",
  31. 31        "ISTA-DASLab/Llama-2-13b-AQLM-2Bit-1x16-hf",
  32. 32        "ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf",
  33. 33        "BlackSamorez/TinyLlama-1_1B-Chat-v1_0-AQLM-2Bit-1x16-hf",
  34. 34    ]
  35. 35
  36. 36    model = LLM(args.model if args.model is not None else models[args.choice],
  37. 37                tensor_parallel_size=args.tensor_parallel_size)
  38. 38
  39. 39    sampling_params = SamplingParams(max_tokens=100, temperature=0)
  40. 40    outputs = model.generate("Hello my name is",
  41. 41                             sampling_params=sampling_params)
  42. 42    print(outputs[0].outputs[0].text)
  43. 43
  44. 44
  45. 45if __name__ == '__main__':
  46. 46    main()