llm-jp-3-13b-it-bs4-ac10-step251-fp8

以下は推論用コードです。

• 事前に以下をインストールしてください。
  • pip install -q numpy==1.26.4
  • pip install -q vllm==0.6.4

from vllm import LLM, SamplingParams

import torch
import json

dir = "."

from datasets import load_dataset

data_files = {"test": dir + "/elyza-tasks-100-TV_0.jsonl"}
tasks = load_dataset("json", data_files=data_files, split="test")

id = "llm-jp-3-13b-it-bs4-ac10-step251-fp8"

from huggingface_hub import snapshot_download
model_id = snapshot_download(repo_id="jaked97/" + id)

prompts = [
    f"""### instruction:
あなたは親切なAIアシスタントです。
### input:
{input}
### output:
""" for input in tasks["input"]]

llm = LLM(
    model=model_id,
    gpu_memory_utilization=0.95,
    quantization="compressed-tensors",
    trust_remote_code=True,
    enforce_eager=True,
)


# 推論の実行
outputs = llm.generate(
    prompts,
    sampling_params = SamplingParams(
        temperature=0,
        max_tokens=512,
        repetition_penalty=1.2,
        skip_special_tokens=True,
        seed=97,
    ),
)


# jsonlで保存
with open(dir + f"/{id}_max512-vllm.jsonl", 'w', encoding='utf-8') as f:
    for i in range(len(outputs)):
        result = {
            "task_id" : tasks[i]["task_id"],
            "input" : tasks[i]["input"],
            "output" : outputs[i].outputs[0].text
        }
        json.dump(result, f, ensure_ascii=False)
        f.write('\n')

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