use \app\model\Staff;   // 模型类

// 1. 取出原记录
$old = Staff::find($id)->toArray();   // 也可以用 get()

// 2. 去掉主键（自增id）
unset($old['id']);

// 3. 插入新记录
$newId = Staff::insertGetId($old);    // 返回新的主键值

https://unsloth.ai

如何运行 Unsloth

1. 安装环境

Conda 安装

conda create --name unsloth_env \
    python=3.11 \
    pytorch-cuda=12.1 \
    pytorch cudatoolkit xformers -c pytorch -c nvidia -c xformers \
    -y
conda activate unsloth_env

pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
pip install --no-deps trl peft accelerate bitsandbytes

Pip 安装

pip install --upgrade pip
pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"

使用教程

unsloth的使用非常简单,主要分为以下几个步骤:

1. 导入必要的库:

from unsloth import FastLanguageModel
from unsloth import is_bfloat16_supported
import torch
from trl import SFTTrainer
from transformers import TrainingArgumentsrom datasets import load_dataset

2. 加载预训练模型:

model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "unsloth/llama-3-8b-bnb-4bit",
    max_seq_length = 2048,
    dtype = None,
    load_in_4bit = True,
)

3. 应用LoRA进行微调:

model = FastLanguageModel.get_peft_model(
    model,
    r = 16,
    target_modules = ["q_proj", "k_proj", "v_proj", "o_proj",
                      "gate_proj", "up_proj", "down_proj",],
    lora_alpha = 16,
    lora_dropout = 0,
    bias = "none",    
    use_gradient_checkpointing = "unsloth",
    random_state = 3407,
    max_seq_length = 2048,
)

4. 开始训练:

trainer = SFTTrainer(
    model = model,
    train_dataset = dataset,
    dataset_text_field = "text",
    max_seq_length = 2048,
    tokenizer = tokenizer,
    args = TrainingArguments(
        per_device_train_batch_size = 2,
        gradient_accumulation_steps = 4,
        warmup_steps = 10,
        max_steps = 60,
        fp16 = not is_bfloat16_supported(),
        bf16 = is_bfloat16_supported(),
        logging_steps = 1,
        output_dir = "outputs",
        optim = "adamw_8bit",
        seed = 3407,
    ),
)
trainer.train()

 return $this->success("ok",null,['id'=>$info]);

AJAX

{
"code":1,
"msg":"ok",
"data":{"id":"9"},
"url":"http:\/\/test.acfun.org.cn\/portal\/money\/get_id.html?id=69",
"wait":3}

范例

$info=LeaseModel::with(
            [
                "fapiao"=>function($query) use($time_start,$time_end,$is_created,$is_done,$is_print){
                    $query->where('time_start','>=',$time_start);
                    $query->where('time_end','<=',$time_end);
                    if($is_done>0){
                        $query->where('is_done','>',$is_done);
                    }elseif($is_done==='0'){
                        $query->where('is_done','=',$is_done);
                    }
                    if($is_created>0){
                        $query->where('is_created','>',$is_created);
                    }elseif($is_created==='0'){
                        $query->where('is_created','=',$is_created);
                    }
                    if($is_print>0){
                        $query->where('is_print','>',$is_print);
                    }elseif($is_print==='0'){
                        $query->where('is_print','=',$is_print);
                    }
                },"lease_contract","lease_contract.ca","lease_contract.cb","lease_contract.cc","lease_contract.cd","propertyone","propertyone.property"
            ])->alias("a")
            ->join("lease_contract b","a.lease_id=b.id")
            ->join("property_one c","a.po_id=c.id")
            ->where($where)
            ->leftJoin("co name_a","name_a.id=b.a")
            ->leftJoin("co name_b","name_b.id=b.b")
            ->leftJoin("co name_c","name_c.id=b.c")
            ->leftJoin("co name_d","name_d.id=b.d")
            ->where($where)
            ->whereNull("b.delete_time")
            ->whereNull("c.delete_time")
            ->whereNull("name_a.delete_time")
            ->whereNull("name_b.delete_time")
            ->whereNull("name_c.delete_time")
            ->whereNull("name_d.delete_time")
            ->field("a.*")
            ->select();

多重调用 ，with多级关联 ，join ，

其中fields(a.*) 因为有表格join时候和本表中有键值冲突所以中使用 a.* 反正都用了关联模型

使用jquery阻止a标签跳转，使用AJXA发起请求 后根据a标签的提示执行js语句来实现动态加载

A标签

 <a  href="{:url('portal/fapiao/print_id',['id'=>$so.id])}" class="ajax-click btn btn-primary btn-sm"  js="ts.parent().parent().parent().attr('class','bg-warning');var span=ts.parent().parent().prev().find('span:first');span.text('已开票');span.attr('class','label label-primary')"data-msg="确定已开票吗？">完成</a>
                                        <a  href="{:url('portal/fapiao/done_id',['id'=>$so.id])}" class="ajax-click btn btn-success btn-sm" js="ts.parent().parent().parent().attr('class','bg-success');var span=ts.parent().parent().prev().find('span').eq(1);span.text('已付款');span.attr('class','label label-success')" data-msg="确定已收款？">收款</a>
                                   

其中的 js 属性为eval执行js语句，其中 ajax-click 用于绑定点击事件来组织跳转a 标签的href，在函数中提前将$(this) 变为局部变量，在函数中使用，（因为ajax请求中$(this) 为请求本身）eval执行

$(".ajax-click").click(function(){
        event.preventDefault();//停止跳转
        var url=$(this).attr('href');
        var ts=$(this);
        var js=$(this).attr('js');
        var jugg=confirm($(this).attr('data-msg'));
        if(jugg){
            $.ajax({
                url:url,
                success:function(data){
                    console.log(data);
                    if(data.code){
                        // c=ts.parent().parent().parent().attr("class","info")
                        eval(js);
                        // console.log(c)
                        // window.location.href=data.url;
                    }
                }
            })
        } 
    })