streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) generation_config = GenerationConfig( max_new_tokens=args.max_new_tokens, temperature=args.temperature, top_k=args.top_k, top_p=args.top_p, do_sample=True, pad_token_id=tokenizer.eos_token_id) logger.info(gener...
model=model, model_kwargs={"temperature": temperature,"top_p": top_p, "max_new_tokens": 1000} return llm (prompt) def chat_completion ( messages: List [Dict], model = DEFAULT_MODEL, temperature: float = 0.6, top_p: float = 0.9, ) -> str: history = ChatMessageHistory () for m...
max_length=args.max_length) streamer = TextStreamer( tokenizer, skip_prompt=True, skip_special_tokens=True) generation_config = GenerationConfig( max_new_tokens=args.max_new_tokens, temperature=args.temperature, top_k=args.top_k, top_p=args.top_p, do_sample=True, pad_token_id=tokenizer.e...
outputs = model.generate(input_ids=input_ids,max_new_tokens=100,do_sample=True,top_p=0.9,temperature=0.5) #Printthe resultprint(f"Prompt:\n{prompt}\n")print(f"Generated instruction:\n{tokenizer.batch_decode(outputs.detach().cpu().numpy(), skip_special_tokens=True)[0][len(prompt):]}"...
max_new_tokens– 指模型可以在其输出中生成的最大令牌数。 top_p– 指模型在生成输出时可以保留的令牌的累积概率 温度– 指模型生成的输出的随机性。温度大于 0 或等于 1 会增加随机性级别,而温度为 0 将生成最有可能的标记。 LLM应该根据LLM的用例选择超参数并对其进行适当的测试。 Llama 系列等型号要求LLM...
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer,device='cuda:0', max_new_tokens=400) res=pipe(text) return res[0]['generated_text'][len(text):] demo = gr.Blocks() with demo: input_prompt = gr.Textbox(label="请输入需求", value="请以软件工程师的身份,写一篇入职...
chat = ops.LLM.Llama_2('path/to/model_file.bin',max_tokens=2048,echo=True) message = [{"question":"Building a website can be done in 10 simple steps:"}] answer = chat(message) 8bit 量化 4bit 量化 05. 模型性能评测总结 我们分别在专业级显卡 A100 (80G 显存)和桌面级显卡 2080 (12G...
必须满足:max_new_tokens <= max_number_of_tokens - max_input_length 关于参数inputs openai gpt接口传入的是[message]参数,里面message包含role和content参数,转化inputs代码: publicclassLlamaUtils{privatefinalstaticStringB_INST="[INST]";privatefinalstaticStringE_INST="[/INST]";privatefinalstaticStringB_...
.input_ids.to('cuda')generate_input={"input_ids":input_ids,"max_new_tokens":512,# max is...
pt').to(device)print("Input tokens: ",inputs)outputs=model.generate(**inputs,max_new_tokens=...