fastchat/serve/huggingface_api.py

"""
Usage:
python3 -m fastchat.serve.huggingface_api --model ~/model_weights/vicuna-7b/
"""
import argparse
import json

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

from fastchat.conversation import get_default_conv_template, compute_skip_echo_len
from fastchat.serve.inference import load_model


@torch.inference_mode()
def main(args):
    model, tokenizer = load_model(
        args.model_path,
        args.device,
        args.num_gpus,
        args.max_gpu_memory,
        args.load_8bit,
        debug=args.debug,
    )

    msg = args.message

    conv = get_default_conv_template(args.model_path).copy()
    conv.append_message(conv.roles[0], msg)
    conv.append_message(conv.roles[1], None)
    prompt = conv.get_prompt()

    inputs = tokenizer([prompt])
    output_ids = model.generate(
        torch.as_tensor(inputs.input_ids).cuda(),
        do_sample=True,
        temperature=0.7,
        max_new_tokens=1024,
    )
    outputs = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0]
    skip_echo_len = compute_skip_echo_len(args.model_path, conv, prompt)
    outputs = outputs[skip_echo_len:]

    print(f"{conv.roles[0]}: {msg}")
    print(f"{conv.roles[1]}: {outputs}")


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--model-path",
        type=str,
        default="facebook/opt-350m",
        help="The path to the weights",
    )
    parser.add_argument(
        "--device", type=str, choices=["cpu", "cuda", "mps"], default="cuda"
    )
    parser.add_argument("--num-gpus", type=str, default="1")
    parser.add_argument(
        "--max-gpu-memory",
        type=str,
        help="The maximum memory per gpu. Use a string like '13Gib'",
    )
    parser.add_argument(
        "--load-8bit", action="store_true", help="Use 8-bit quantization."
    )
    parser.add_argument(
        "--conv-template", type=str, default=None, help="Conversation prompt template."
    )
    parser.add_argument("--temperature", type=float, default=0.7)
    parser.add_argument("--max-new-tokens", type=int, default=512)
    parser.add_argument("--debug", action="store_true")
    parser.add_argument("--message", type=str, default="Hello! Who are you?")
    args = parser.parse_args()

    main(args)