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"""Stream a text completion with the current low-level llama.cpp API."""
from __future__ import annotations
import argparse
from common import (
HelpFormatter,
add_generation_arguments,
add_model_arguments,
run_cli,
validate_generation,
validate_model_arguments,
validate_positive,
)
def parse_args() -> tuple[argparse.ArgumentParser, argparse.Namespace]:
parser = argparse.ArgumentParser(
description="Low-level streaming text generation.",
formatter_class=HelpFormatter,
epilog="""Example:
python examples/low_level_api/generate.py -m model.gguf -p "Explain why the sky is blue:" --n-ctx 4096 --max-tokens 256 --n-gpu-layers all
""",
)
add_model_arguments(parser)
add_generation_arguments(parser)
parser.add_argument(
"-p",
"--prompt",
default="Question: Why is the sky blue?\nAnswer:",
)
parser.add_argument("--show-timings", action="store_true")
return parser, parser.parse_args()
def main() -> int:
parser, args = parse_args()
validate_model_arguments(parser, args)
validate_positive(parser, max_tokens=args.max_tokens)
validate_generation(parser, args)
# Delay native imports so `-h` stays fast and machine-independent.
from runtime import LowLevelLlama
with LowLevelLlama(
args.model,
n_ctx=args.n_ctx,
n_batch=args.n_batch,
n_ubatch=args.n_ubatch,
n_threads=args.threads,
n_gpu_layers=args.n_gpu_layers,
verbose=args.verbose,
verbosity=args.verbosity,
) as model:
print(args.prompt, end="", flush=True)
for text in model.generate(
args.prompt,
max_tokens=args.max_tokens,
temperature=args.temperature,
top_k=args.top_k,
top_p=args.top_p,
repeat_penalty=args.repeat_penalty,
seed=args.seed,
):
print(text, end="", flush=True)
print()
if args.show_timings:
model.print_timings()
return 0
if __name__ == "__main__":
raise SystemExit(run_cli(main))