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vllm-project / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs
https://docs.vllm.ai
Apache License 2.0
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[Model] Added GLM-4 series hf format model support vllm==0.6.4 #10561

Open sixsixcoder opened 4 days ago

sixsixcoder commented 4 days ago

Overview

This update adds GLM-4 series text model support vllm==0.6.4, which is different from GLM-4v https://github.com/vllm-project/vllm/pull/9242 This code is written according to transformers==4.46.0

Usage

from transformers import AutoTokenizer
from vllm import LLM, SamplingParams

max_model_len, tp_size = 8192, 1
model_name = "THUDM/glm-4-9b-chat-hf"
prompt = [{"role": "user", "content": "Hello, my name is"}]

tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
llm = LLM(
    model=model_name,
    tensor_parallel_size=tp_size,
    max_model_len=max_model_len,
    trust_remote_code=True,
    enforce_eager=True,
)
stop_token_ids = [151329, 151336, 151338]
sampling_params = SamplingParams(temperature=0.95, max_tokens=1024, stop_token_ids=stop_token_ids)

inputs = tokenizer.apply_chat_template(prompt, tokenize=False, add_generation_prompt=True)
outputs = llm.generate(prompts=inputs, sampling_params=sampling_params)

print(outputs[0].outputs[0].text)
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