[ { "instruction": "user instruction (required)", "input": "user input (optional)", "output": "model response (required)", "system": "system prompt (optional)", "history": [ ["user instruction in the first round (optional)", "model response in the first round (optional)"], ["us...
在Alpaca-LoRA 项目中,作者提到,为了廉价高效地进行微调,他们使用了 Hugging Face 的 PEFT。PEFT 是一个库(LoRA 是其支持的技术之一,除此之外还有Prefix Tuning、P-Tuning、Prompt Tuning),可以让你使用各种基于 Transformer 结构的语言模型进行高效微调。下面安装PEFT。 git clone https://github.com/huggingface/pef...
prompt (string)response (string)chosen (string)rejected (string)" Human: Can you describe the ste...
考虑到alpaca数据集大部分都是["instruction", "input", "output"]型格式,因此我们为key值["prompt", "query", "response"]设置了默认值。因此上面格式--map-keys参数可简略为'{"system": "system","history": "history"}' 若数据集中无system与history列,则--map-keys可省略。 【--prompt-type】 用于...
prompt = output.prompt # 获取原始的输入提示 generated_text = output.outputs[0].text # 从输出对象中获取生成的文本 print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") 运行脚本: python test_vllm.py ---CUT--- 换新: 运行成功。 ---CUT--- 提示要装cuda版本的pytorch 用conda...
考虑到alpaca数据集大部分都是["instruction", "input", "output"]型格式,因此我们为key值["prompt", "query", "response"]设置了默认值。因此上面格式--map-keys参数可简略为'{"system": "system","history": "history"}' 若数据集中无system与history列,则--map-keys可省略。
device_map='auto')local_llm=HuggingFacePipeline(pipeline=pipeline)template="""Question: {question}Answer: Let's think step by step."""prompt=PromptTemplate(template=template,input_variables=["question"])llm_chain=LLMChain(prompt=prompt,llm=local_llm)llm_chain.run('What is the capital of India...
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|> {{ .Response }}<|eot_id|>""" SYSTEM """You are a helpful assistant. 你是一个乐于助人的助手。""" PARAMETER temperature 0.2 PARAMETER num_keep 24 ...
help="Whether use the system prompt and template of Chinese-Alpaca-2 when constructing the instructions.") parser.add_argument('--e', action='store_true', help="Evaluate on LongBench-E") parser.add_argument('--use_flash_attention_2', action='store_true', help="Use flash attention to...
Second, in the app layer, System A is going to write data to the socket for its connection to System B at some (usually) fixed size. It's more efficient to write larger amounts and let the lower IP and ethernet driver layers in the OS break those chunks up as needed rather than wr...