🚀 LongWriter-llama3.1-8b
LongWriter-llama3.1-8b 是一个基于 Meta-Llama-3.1-8B 训练的模型,能够一次性生成 10000 字以上的内容。
📚 [LongWriter 数据集] • 💻 [GitHub 仓库] • 📃 [LongWriter 论文]
🚀 快速开始
环境要求
运行该模型需要 transformers>=4.43.0
的环境。
提示模板
请遵循以下提示模板(系统提示可选):<<SYS>>\n{系统提示}\n<</SYS>>\n\n[INST]{查询1}[/INST]{回复1}[INST]{查询2}[/INST]{回复2}...
💻 使用示例
基础用法
以下是一个简单的模型部署示例:
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("THUDM/LongWriter-llama3.1-8b", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("THUDM/LongWriter-llama3.1-8b", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto")
model = model.eval()
query = "Write a 10000-word China travel guide"
prompt = f"[INST]{query}[/INST]"
input = tokenizer(prompt, truncation=False, return_tensors="pt").to(device)
context_length = input.input_ids.shape[-1]
output = model.generate(
**input,
max_new_tokens=32768,
num_beams=1,
do_sample=True,
temperature=0.5,
)[0]
response = tokenizer.decode(output[context_length:], skip_special_tokens=True)
print(response)
高级用法
你也可以使用 vllm 部署该模型,它可以在一分钟内生成 10000 字以上的内容。以下是示例代码:
model = LLM(
model= "THUDM/LongWriter-llama3.1-8b",
dtype="auto",
trust_remote_code=True,
tensor_parallel_size=1,
max_model_len=32768,
gpu_memory_utilization=0.5,
)
tokenizer = model.get_tokenizer()
generation_params = SamplingParams(
temperature=0.5,
top_p=0.8,
top_k=50,
max_tokens=32768,
repetition_penalty=1,
)
query = "Write a 10000-word China travel guide"
prompt = f"[INST]{query}[/INST]"
input_ids = tokenizer(prompt, truncation=False, return_tensors="pt").input_ids[0].tolist()
outputs = model.generate(
sampling_params=generation_params,
prompt_token_ids=[input_ids],
)
output = outputs[0]
print(output.outputs[0].text)
📄 许可证
该模型遵循 Llama-3.1 许可证。
📚 引用
如果您觉得我们的工作有用,请考虑引用 LongWriter:
@article{bai2024longwriter,
title={LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs},
author={Yushi Bai and Jiajie Zhang and Xin Lv and Linzhi Zheng and Siqi Zhu and Lei Hou and Yuxiao Dong and Jie Tang and Juanzi Li},
journal={arXiv preprint arXiv:2408.07055},
year={2024}
}
📦 相关信息
属性 |
详情 |
库名称 |
transformers |
标签 |
Long Context、chatglm、llama |
数据集 |
THUDM/LongWriter-6k |
许可证 |
llama3.1 |