temperature=temperature, top_p=top_p, ) 那我们就顺势摸到了Llama类中的chat_completion这个函数,同样的我们先来看它的参数情况,发现比我们调用时传入的参数多了一个logprobs,并且默认值是False。这个参数的意思就是控制这个函数是否返回生成token的对数概率。有的看官开始骂娘了,这咋还有对数概率的事,它是谁我也...
top_p越小,质量越高。 max_seq_len: int = 512, 最大总序列长度(以token计算),就是需要放到KVcache里的总长度 max_batch_size: int = 8, max_gen_len: 表示生成的文本的最大长度。如果未指定,那么将使用模型参数中的最大序列长度减1。 编辑于 2024-06-28 19:55・IP 属地北京...
temperature: float = 0.6,top_p: float = 0.9,) -> str:llm = Replicate (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,to...
temperature=0.2, top_p=0.9, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id, max_length=100, ) forseqinsequences: print(f"Result:{seq['generated_text']}") 其输出如下: Result:deffibonacci(n): ifn ==0: return0 elifn ==1: return1 else: returnfibonacci(n-1) + fibonacc...
top_p(默认值为0.9):这是一个控制生成文本多样性的参数,它设定了从最高概率的词开始,累计到总概率超过top_p的词为止,然后从这些词中随机选择一个词作为生成的词。这种方法也被称为nucleus sampling或top-p sampling。 max_gen_len:可选参数,表示生成的文本的最大长度。如果未指定,那么将使用模型参数中的最大...
top_p:float=0.9, max_seq_len:int=512, max_batch_size:int=4, max_gen_len:Optional[int] =None,): generator = Llama.build( ckpt_dir=ckpt_dir, tokenizer_path=tokenizer_path, max_seq_len=max_seq_len, max_batch_size=max_batch_size, ...
"top_p":0.95, "temperature":0.3, "repetition_penalty":1.3, "eos_token_id":tokenizer.eos_token_id, "bos_token_id":tokenizer.bos_token_id, "pad_token_id":tokenizer.pad_token_id } generate_ids = model.generate(**generate_input)
fromllamaimportLlamadefmain(ckpt_dir:str,tokenizer_path:str,temperature:float=0.6,top_p:float=0.9,max_seq_len:int=128,max_gen_len:int=64,max_batch_size:int=4,):generator=Llama.build(ckpt_dir=ckpt_dir,tokenizer_path=tokenizer_path,max_seq_len=max_seq_len,max_batch_size=max_batch_size,...
"""},]],"parameters":{"max_new_tokens":512,"top_p":0.9,"temperature":0.6}}response=predictor.predict(payload,custom_attributes='accept_eula=true')print_dialog(payload,response) Python System:You are a pizza professional User:You have a pizza that was cut ...
temperature,"top_p": top_p, "repetition_penalty":1}, api_token=API_TOKEN) returnoutput The function performs a debounce mechanism to prevent frequent and excessive API queries from a user’s input. Next, import the debounce response function into yourllama_chatbot.pyfile as follows: ...