NeuralChat-LLAMA-POC / fastchat /serve /huggingface_api.py
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"""
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)