(argv=None)
| 75 | |
| 76 | |
| 77 | def gpt_params_parse(argv=None): |
| 78 | parser = argparse.ArgumentParser( |
| 79 | formatter_class=argparse.ArgumentDefaultsHelpFormatter |
| 80 | ) |
| 81 | parser.add_argument( |
| 82 | "-s", |
| 83 | "--seed", |
| 84 | type=int, |
| 85 | default=-1, |
| 86 | help="RNG seed (use random seed for <= 0)", |
| 87 | dest="seed", |
| 88 | ) |
| 89 | parser.add_argument( |
| 90 | "-t", |
| 91 | "--threads", |
| 92 | type=int, |
| 93 | default=min(4, os.cpu_count() or 1), |
| 94 | help="number of threads to use during computation", |
| 95 | dest="n_threads", |
| 96 | ) |
| 97 | parser.add_argument( |
| 98 | "-n", |
| 99 | "--n_predict", |
| 100 | type=int, |
| 101 | default=128, |
| 102 | help="number of tokens to predict (-1 = infinity)", |
| 103 | dest="n_predict", |
| 104 | ) |
| 105 | parser.add_argument( |
| 106 | "--n_parts", type=int, default=-1, help="number of model parts", dest="n_parts" |
| 107 | ) |
| 108 | parser.add_argument( |
| 109 | "-c", |
| 110 | "--ctx_size", |
| 111 | type=int, |
| 112 | default=512, |
| 113 | help="size of the prompt context", |
| 114 | dest="n_ctx", |
| 115 | ) |
| 116 | parser.add_argument( |
| 117 | "-b", |
| 118 | "--batch_size", |
| 119 | type=int, |
| 120 | default=8, |
| 121 | help="batch size for prompt processing", |
| 122 | dest="n_batch", |
| 123 | ) |
| 124 | parser.add_argument( |
| 125 | "--keep", |
| 126 | type=int, |
| 127 | default=0, |
| 128 | help="number of tokens to keep from the initial prompt", |
| 129 | dest="n_keep", |
| 130 | ) |
| 131 | |
| 132 | parser.add_argument( |
| 133 | "-l", |
| 134 | "--logit-bias", |
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