Support DeepSeek-Coder-v1.5 7B

[peterzcst]

Support DeepSeek-Coder-v1.5 7B with vLLM

[ACupofAir]

Have successfully verified on vllm0.5.4(docker image: intelanalytics/ipex-llm-serving-xpu:latest):

Test step

run python vllm-out-verify.py /llm/models/deepseek-coder-7b-instruct-v1.5/ 1, the vllm-out-verify.py is below:

from vllm import SamplingParams
from ipex_llm.vllm.xpu.engine import IPEXLLMClass as LLM
import sys

model_path = sys.argv[1]
tp_num = int(sys.argv[2])

# Sample prompts.
prompts = [
        "Hello, my name is",
        "The president of the United States is",
        "The capital of France is",
        "The future of AI is",
        ]
# Create a sampling params object.
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)

# Create an LLM.
llm = LLM(model=model_path,
          device="xpu",
          dtype="float16",
          enforce_eager=True,
          load_in_low_bit="fp8",
          #gpu_memory_utilization=0.75,
          max_model_len=2048,
          max_num_batched_tokens=4096,
          trust_remote_code=True,
          tensor_parallel_size=tp_num)
# Generate texts from the prompts. The output is a list of RequestOutput objects
# that contain the prompt, generated text, and other information.
outputs = llm.generate(prompts, sampling_params)
# Print the outputs.
for output in outputs:
    prompt = output.prompt
    generated_text = output.outputs[0].text
    print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")

Result:

[glorysdj]

fixed