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1from transformers import AutoModelForCausalLM, AutoTokenizer
2model_name = "huskyhong/noname-ai-v3.1-light-thinking"
3model = AutoModelForCausalLM.from_pretrained(
4 model_name,
5 torch_dtype="auto",
6 device_map="auto"
7)
8tokenizer = AutoTokenizer.from_pretrained(model_name)
9prompt = "请帮我用JavaScript编写一个无名杀游戏的技能，技能效果如下：你使用杀造成的伤害+1"
10# prompt = "请帮我用JavaScript编写一张无名杀游戏的卡牌，卡牌效果如下：xxx"
11messages = [
12 {"role": "system", "content": "你是由B站up主AKA臭脸臭羊驼训练得到的无名杀AI，旨在帮助用户编写无名杀技能或卡牌代码."},
13 {"role": "user", "content": prompt}
14]
15text = tokenizer.apply_chat_template(
16 messages,
17 tokenize=False,
18 add_generation_prompt=True
19)
20model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
21generated_ids = model.generate(
22 **model_inputs,
23 max_new_tokens=512
24)
25generated_ids = [
26 output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
27]
28response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
29print(response)