--- license: apache-2.0 language: - zh tags: - qwen - text-generation - short-drama - lora - finetune pipeline_tag: text-generation base_model: - Qwen/Qwen3-4B-Instruct-2507 datasets: - EugeneMeng/Hongguo-Short-Drama-Corpus-AI-Labeled --- # Short-Drama-Title-Generator-4B (微短剧爆款剧名生成大模型) [中文介绍](#中文介绍) | [English Introduction](#english) ## 🎬 模型介绍 **Short-Drama-Title-Generator-4B** 是一款基于 Qwen3-4B-Instruct 深度微调的“微短剧爆款剧名生成器”。 本模型使用了高达 **20,205 条真实的爆款微短剧数据集**(涵盖女频、男频、战神、甜宠、穿书、系统、打脸虐渣等全品类)进行指令微调(SFT)。模型深谙下沉市场用户的心理与短剧“网感”,能够根据简单的剧情简介和标签,一键生成极具爽感、能引发病毒式传播的微短剧剧名。 **核心应用场景**: * 短剧编剧/导演快速起名 * 网文小说作者灵感激发 * 短视频信息流广告素材起标题 ## 🚀 快速开始 (Quick Start) ### 1. 依赖安装 ```bash pip install transformers accelerate vllm ``` ### 2. Python 推理示例 我们推荐使用 `transformers` 库进行快速调用。请确保你遵循了训练时的 Prompt 格式(即包含【标签】和【简介】)。 ```python from transformers import AutoModelForCausalLM, AutoTokenizer model_name = "EugeneMeng/Short-Drama-Title-Generator-4B" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype="auto") # 你的指令和输入 instruction = "你是一名深谙下沉市场心理的顶级微短剧编剧。请根据以下剧情简介,为这部【女频】短剧起一个极具爽感、能引发病毒式传播的爆款剧名。" input_text = "【标签】[\"都市爱情\", \"追妻火葬场\", \"打脸虐渣\"]\n【简介】林湘看清自己不过是父亲用来挽救公司、被塞进豪门的“工具人”。三年协议婚姻,她忍下冷暴力与流言。幡然醒悟后,她踢走势利保姆,重返职场,活成了前夫高攀不起的模样。" messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": f"{instruction}\n{input_text}"} ] text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) model_inputs = tokenizer([text], return_tensors="pt").to(model.device) # 生成剧名 generated_ids = model.generate(**model_inputs, max_new_tokens=50, temperature=0.7) generated_ids = [ output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) ] response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] print("生成的剧名:", response) ``` ### 3. Ollama 本地运行 文件包含‘Modelfile`,如果你熟悉 Ollama 生态,可以直接将其转换为 GGUF 并进行极其方便的本地部署调用。 --- ## 🎬 Model Description (English) **Short-Drama-Title-Generator-4B** is a specialized Large Language Model fine-tuned on the Qwen3-4B-Instruct architecture. It is designed to generate highly engaging, viral, and click-worthy titles for Chinese Short Dramas (微短剧). The model was meticulously fine-tuned on a high-quality dataset containing **20,205 real-world popular short drama titles and plots**. It excels at extracting core elements from a brief plot summary and outputting titles that strongly appeal to target audiences in the short video ecosystem. ## ⚠️ 免责声明 (Disclaimer) 本模型生成的剧名仅供参考,生成结果受输入文本和模型生成随机性影响。请用户在使用时遵守相关法律法规,不得用于生成、传播任何违法违规或侵犯他人权益的内容。