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  "text": "大家看我在DeepseekHannis的原码里翻譯了什么。The Agent Codex和The Agent Cloud。这是要做Codex和Codex最严厉的父亲吗?Hannis本地部署千问3.827B同时跑三个任务也行吗?这下是不是真的token自由了?大家好,我是ZZ。DeepseekHannis让本地Agent框架的看研程度更上一层楼,而千问3.827B则是让本地部署大模型执行复杂Agent的任务成为可能。\n本期我们就来本地部署Hannis加千问3.827B,实现数据安全和token自由。先给大家介绍一下什么是DeepseekHannis。网上有人说这是Deepseek版的Codex或者Cloud,但是我想说这种说法都不太准确。\n因为DeepseekHannis就像一块乐高的底板一样,所有的AZ的能力就为插件,这些插件就像于CoreG,可以任意组合按需替换。\n想用手模型,想加载什么工具,怎么调度,怎么囤储都有你决定。甚至可以给DeepseekHannis换了你喜欢的20元角色的UI皮肤。\n除了架构上的自由度外,DeepseekHannis的运行过程不仅有迹可循,还公开透明。这一点是在同类任何别人软件上都看不到的。\n说起币安软件,我在看DeepseekHannis的原码时,发现了一段有趣的代码。\nDeepseekHannis似乎在设计之初就考虑了可以调用其他同类本地Agent能力。\n这你敢信,大部分AI助手类软件的设计逻辑肯定是能干的活都自己干了呀。\n就算派子一指头肯定也是自己分身一个呀。\n比同行留个门还分一杯各种的事情,要是让用户跑了直接用上同行的了那怎么办呢?\n不得不说量身这格局够大。\n这里我也实际测试了一下,确实能调用到Codex的能力,但是似乎没能找到合适的场景让我不得不去调用Codex的情况呀。\nCodex你得加把劲了。\n接下来我们来安装一下DeepseekHannis。\n首先第一步我们需要来到Node.js的官网下载并安装。\n安装过程我们一直点下一步即可。\n安装完成后,我们回到DeepseekHannis的官网,复制一下快速体验下面的正行命令。\n在开始探测中打开PowerShell,将正行命令粘贴进PowerShell后回车。\n等待以后我们输入Y再按回车。\n因为这里需要下载,所以它的花费时间会长一些,不是卡住了,请在按那些等一下。\n等我们看到外部UI的地址的时候就是安装成功了。\n我们把它复制到浏览器打开。\n首先第一步就是让我们配置官方API Key。\n如果你想用自己的API Key或者本地部署,可以直接跳到视频的后面部分。\nDeepseek的Meal,我们可以从Deepseek的官网点击这个API开放平台。\n然后在API Key里面创建一个API Key。\n然后把这个API Key的Meal复制出来就行了。\n当然你得确保你还有余额啊。\n不然的话这个API Key也是用不了的。\n进入之后我们点击一下对话框,会让我们选择一个工作区。\n这个工作区你就可以把它想象成某一个具体项目的生产车间。\n比如它需要的一些文件资料,我们可以给它放到里面。\n然后它做的一些产出结果,文档也会在里面生成。\n接着我们来做一下联通信测试。\n我们随便发给它一段话,能够收到对应的回复。\n我们的Deepseek Harness就安装成功了。\n我们可以在对话框下面选择它的群演等级。\n第一个是只读,这种情况下它只会读取你的文件,不会对你的电脑进行任何更改。\n第二个是在工作区域的写入,也就是我们刚才选择的文件夹。\n正常的话我们就选择第二个就可以了。\n第三个是放开全部权限,这个适合有一定基础的小伙伴。\n接下来我们来本机部署签问3.820CB。\n首先打开LM499的官网,我们点一下载,然后安装的时候点击一支下一步即可。\n在LM499中我们可以点击左下角的设置,然后点击第一个选项。\n这里可以把它设置为中文。\n接下来我们下载千万3.827B模型。\n我们点击左侧这个在放大镜的图标。\n点击之后我们在这里搜索千万3.8。\n这里第一个就是,如果没有的话我可以搜索。\n这里一个下载的一个设置。\n然后我们点开这就可以下载。\n我这里都给下载完了。\n然后大家可以根据自己的显存来进行下载。\n如果你的显存是16个JJ的话,你就选择这个。\n这个17个J也是可以装到下载。\n因为它有部分可能会装到内存里面。\n所以16J也是可以用的。\n然后这个如果你的内存在24J的话,你就选择这个Q6量化的。\n然后如果你的显存有29个J以上的话,你就可以选择这个Q8量化的。\n下载完成后,我们来测试一下联通性。\n点击左侧的这个紫色的logo。\n接着我们选择顶部要加载的模型。\n然后接着在选择我们的模型,它就会自动加载。\n下载成功后,我们任意发送一条消息,能够收到对应的回复。\n就说明我们的LM19安装成功了。\n千辛3.8RTB这个模型,除了它的agent能力很强外。\n它还是一个原生的视觉语言模型。\n因此它是可以看图的。\n这里我找了一堆笔的图片,看它能不能数得清楚。\n好,这里它已经数完了,我们来看一下。\n它这里说15支笔,我们来数一数对不对。\n1,2,3,4,5,6,7,8,9,10,11,12,13,14,15。\n成功数对了,而且它也没有被这一个笔杆和笔帽没有在一起的笔给干扰。\n接着我们将本地的约条3.8RTB进入到我们的DVSIC HANIS中。\n首先我们在LM1919里面点击左侧的第二个图标。\n我们把运行按钮打开。\n然后点击这里的加载模型。\n选择我们要加载的千万3.8RTB。\n加载完成后我们来到DVSIC HANIS中。\n点击左下角的设置,点击模型。\n然后我们可以点击添加自定义配置方。\nProvide ID这里一定要是小写字幕开头。\n显示名称这里我们随便填。\nAPI地址这里我们从LM Studio这里复制一下这个地址。\n注意这个地址粘过来之后需要在后面加上斜线V1。\nAPI协议选择OpenAI Comulations。\n模型目录这里我们同样是从RM Studio这里复制过来。\n助理这里很容易复制过来空格。\n别问我为什么知道。\n我们在对话空中将模型修改为千万3.8RT。\n然后进行连通性测试。\n回复任意一句话能够受到对应的回应就为成功。\n大家在本地部署的过程中遇到任何问题,\n也可以先给Hanis配上个线上的API。\n让Hanis直接帮你修。\n我们让它生成一个飞行小游戏来测试一下。\n与此同时我们再让它去写一个科幻小说。\n毕竟本运行超恨可是不要钱的。\n怎么好像运行的还挺流畅的。\n估计还有余力。\n再给安排个生成天体的任务吧。\n生产队的驴都估计没我电脑忙了。\n我只求你别冒烟。\n可以看到RM Studio这里三个任务都给跑起来了。\n我这电脑的风扇也是嗚嗚的转。\n好像开始卡了。不行了。\n我这鼠标已经非常难用了。\n不过看这个任务它还是在运行的。\n但是我这已经操作不了电脑了。\n我想把鼠标移动到听纸这里。\n但是非常难移动。\n而且点击也没什么反应。\n这个应该是内存频引导致的。\n因为本次这个电脑的话是三十二级内存。\n运行一个任务的话应该是一点问题没有。\n但是如果运行多个任务的话,\n它上线纹都夹在内存中是肯定撑不住的。\n所以大家一定要根据自己的情况去执行这个。\n任务啊。\n包括其实LM199它其实是可以设置上远文长度的。\n如果你内存不够高的话,尽量设置的低一点。\n比如说64K以下。\n而且不要像我这样一聘同时执行好几个任务。\n我替你试过了,你就不要去试了。\n把电脑搞冒烟可不是那玩的。\n我这里想说任务管理器里面结束任务。\n但是任务管理器已经卡成一张精彩图片了。\n我这里是好不容易把录片软件给退了。\n然后才能操作鼠标。\n把后来提要两个任务关闭了。\n就会排生成的。\n我们来看一下生成结果吧。\n生成结果还是很出乎我的意料的。\n你别看这只是一个简单的飞行射击小游戏。\n它处理的这些碰撞啊,移动啊,包括敌人的生成啊,都没有任何问题。\n这对于一个27B的小模型来说是非常厉害的。\n而且这还是只是一轮停止词的情况下。\n如果多轮对话的话,它的潜力还有非常大的发布空间。\n我认为这个模型是真的可以多为生产地的一个模型了。\n然后我们再来看一下它生成的这个空白小说啊。\n虽然我中途停止了,但它生成了也很多东西了。\n而且我看它这个内容真的让我非常的震惊啊。\n我就一点看不出这是AI写的。\n虽然它这个东西写的是一个老套的星际移民的故事啊。\n但它这个东西让我看设定的时候,我一下子想到的就是美剧那个什么羊毛战记啊。\n就是末日地宝那个。\n就是人们挤在地下桶堂里边,然后高层靠着野蛮真相维持生存的秩序啊。\n包括它的一些场景设定啊。\n比如说,呃,集水柱啊。\n然后墙上的救赎啊。\n就人死了之后它会。\n其实它不是说是死了,就直接上传数据了。\n而且它也保留了集水柱。\n我就觉得就很有画面感。\n就这个画面可能最后做出来就很震撼。\n好了,感谢大家能听到我讲到这里啊。\n后面我会给大家分享更多的AI相关的知识啊。\n大家如果感兴趣的话记得关注一下。\n我是VV,在这里谢过大家了。",
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      "text": "DeepseekHannis似乎在设计之初就考虑了可以调用其他同类本地Agent能力。",
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      "text": "这你敢信,大部分AI助手类软件的设计逻辑肯定是能干的活都自己干了呀。",
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      "text": "就算派子一指头肯定也是自己分身一个呀。",
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      "text": "比同行留个门还分一杯各种的事情,要是让用户跑了直接用上同行的了那怎么办呢?",
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      "text": "不得不说量身这格局够大。",
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      "text": "这里我也实际测试了一下,确实能调用到Codex的能力,但是似乎没能找到合适的场景让我不得不去调用Codex的情况呀。",
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      "text": "Codex你得加把劲了。",
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      "text": "接下来我们来安装一下DeepseekHannis。",
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      "text": "首先第一步我们需要来到Node.js的官网下载并安装。",
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      "text": "安装过程我们一直点下一步即可。",
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      "text": "安装完成后,我们回到DeepseekHannis的官网,复制一下快速体验下面的正行命令。",
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      "text": "在开始探测中打开PowerShell,将正行命令粘贴进PowerShell后回车。",
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      "text": "等待以后我们输入Y再按回车。",
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      "text": "因为这里需要下载,所以它的花费时间会长一些,不是卡住了,请在按那些等一下。",
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      "text": "等我们看到外部UI的地址的时候就是安装成功了。",
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      "text": "我们把它复制到浏览器打开。",
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      "text": "首先第一步就是让我们配置官方API Key。",
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      "text": "如果你想用自己的API Key或者本地部署,可以直接跳到视频的后面部分。",
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      "text": "Deepseek的Meal,我们可以从Deepseek的官网点击这个API开放平台。",
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      "text": "然后在API Key里面创建一个API Key。",
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      "text": "然后把这个API Key的Meal复制出来就行了。",
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      "text": "当然你得确保你还有余额啊。",
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      "text": "不然的话这个API Key也是用不了的。",
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      "text": "进入之后我们点击一下对话框,会让我们选择一个工作区。",
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      "text": "这个工作区你就可以把它想象成某一个具体项目的生产车间。",
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      "text": "比如它需要的一些文件资料,我们可以给它放到里面。",
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      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 32,
      "seek": 15198,
      "start": 163.38,
      "end": 167.38,
      "text": "然后它做的一些产出结果,文档也会在里面生成。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 33,
      "seek": 15198,
      "start": 167.38,
      "end": 169.38,
      "text": "接着我们来做一下联通信测试。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 34,
      "seek": 15198,
      "start": 169.38,
      "end": 172.5,
      "text": "我们随便发给它一段话,能够收到对应的回复。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 35,
      "seek": 15198,
      "start": 172.5,
      "end": 174.85999999999999,
      "text": "我们的Deepseek Harness就安装成功了。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 36,
      "seek": 15198,
      "start": 174.85999999999999,
      "end": 177.98,
      "text": "我们可以在对话框下面选择它的群演等级。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.19363924252089634,
      "compression_ratio": 1.4,
      "no_speech_prob": 1.5561611027559152e-11,
      "source": "whisper"
    },
    {
      "id": 37,
      "seek": 17798,
      "start": 177.98,
      "end": 182.98,
      "text": "第一个是只读,这种情况下它只会读取你的文件,不会对你的电脑进行任何更改。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 38,
      "seek": 17798,
      "start": 182.98,
      "end": 186.98,
      "text": "第二个是在工作区域的写入,也就是我们刚才选择的文件夹。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 39,
      "seek": 17798,
      "start": 186.98,
      "end": 188.98,
      "text": "正常的话我们就选择第二个就可以了。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 40,
      "seek": 17798,
      "start": 188.98,
      "end": 193.38,
      "text": "第三个是放开全部权限,这个适合有一定基础的小伙伴。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 41,
      "seek": 17798,
      "start": 193.38,
      "end": 196.38,
      "text": "接下来我们来本机部署签问3.820CB。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 42,
      "seek": 17798,
      "start": 196.38,
      "end": 201.98,
      "text": "首先打开LM499的官网,我们点一下载,然后安装的时候点击一支下一步即可。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 43,
      "seek": 17798,
      "start": 201.98,
      "end": 206.98,
      "text": "在LM499中我们可以点击左下角的设置,然后点击第一个选项。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12636436802325862,
      "compression_ratio": 1.4231805929919137,
      "no_speech_prob": 1.4393422217984231e-11,
      "source": "whisper"
    },
    {
      "id": 44,
      "seek": 20698,
      "start": 206.98,
      "end": 208.98,
      "text": "这里可以把它设置为中文。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 45,
      "seek": 20698,
      "start": 208.98,
      "end": 210.98,
      "text": "接下来我们下载千万3.827B模型。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 46,
      "seek": 20698,
      "start": 210.98,
      "end": 213.98,
      "text": "我们点击左侧这个在放大镜的图标。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 47,
      "seek": 20698,
      "start": 213.98,
      "end": 216.98,
      "text": "点击之后我们在这里搜索千万3.8。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
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    },
    {
      "id": 48,
      "seek": 20698,
      "start": 216.98,
      "end": 218.98,
      "text": "这里第一个就是,如果没有的话我可以搜索。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
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    },
    {
      "id": 49,
      "seek": 20698,
      "start": 218.98,
      "end": 220.98,
      "text": "这里一个下载的一个设置。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 50,
      "seek": 20698,
      "start": 220.98,
      "end": 222.98,
      "text": "然后我们点开这就可以下载。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 51,
      "seek": 20698,
      "start": 222.98,
      "end": 224.98,
      "text": "我这里都给下载完了。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 52,
      "seek": 20698,
      "start": 224.98,
      "end": 227.98,
      "text": "然后大家可以根据自己的显存来进行下载。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 53,
      "seek": 20698,
      "start": 227.98,
      "end": 231.98,
      "text": "如果你的显存是16个JJ的话,你就选择这个。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 54,
      "seek": 20698,
      "start": 231.98,
      "end": 233.98,
      "text": "这个17个J也是可以装到下载。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1496278627322671,
      "compression_ratio": 1.5830618892508144,
      "no_speech_prob": 1.4685079541276735e-11,
      "source": "whisper"
    },
    {
      "id": 55,
      "seek": 23398,
      "start": 233.98,
      "end": 236.98,
      "text": "因为它有部分可能会装到内存里面。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
    },
    {
      "id": 56,
      "seek": 23398,
      "start": 236.98,
      "end": 238.98,
      "text": "所以16J也是可以用的。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
    },
    {
      "id": 57,
      "seek": 23398,
      "start": 238.98,
      "end": 243.98,
      "text": "然后这个如果你的内存在24J的话,你就选择这个Q6量化的。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
    },
    {
      "id": 58,
      "seek": 23398,
      "start": 243.98,
      "end": 248.98,
      "text": "然后如果你的显存有29个J以上的话,你就可以选择这个Q8量化的。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
    },
    {
      "id": 59,
      "seek": 23398,
      "start": 248.98,
      "end": 252.98,
      "text": "下载完成后,我们来测试一下联通性。",
      "tokens": [
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        121,
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
    },
    {
      "id": 60,
      "seek": 23398,
      "start": 252.98,
      "end": 254.98,
      "text": "点击左侧的这个紫色的logo。",
      "tokens": [
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        119,
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        3254,
        100,
        1546,
        15368,
        7732,
        104,
        17673,
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      "temperature": 0,
      "avg_logprob": -0.12011226425822984,
      "compression_ratio": 1.334710743801653,
      "no_speech_prob": 1.734367337247189e-11,
      "source": "whisper"
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    {
      "id": 61,
      "seek": 25498,
      "start": 254.98,
      "end": 257.98,
      "text": "接着我们选择顶部要加载的模型。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12815574158069698,
      "compression_ratio": 1.306501547987616,
      "no_speech_prob": 1.736468954738335e-11,
      "source": "whisper"
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    {
      "id": 62,
      "seek": 25498,
      "start": 257.98,
      "end": 260.98,
      "text": "然后接着在选择我们的模型,它就会自动加载。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12815574158069698,
      "compression_ratio": 1.306501547987616,
      "no_speech_prob": 1.736468954738335e-11,
      "source": "whisper"
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    {
      "id": 63,
      "seek": 25498,
      "start": 260.98,
      "end": 265.98,
      "text": "下载成功后,我们任意发送一条消息,能够收到对应的回复。",
      "tokens": [
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      "no_speech_prob": 1.736468954738335e-11,
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    {
      "id": 64,
      "seek": 25498,
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      "end": 267.98,
      "text": "就说明我们的LM19安装成功了。",
      "tokens": [
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      "no_speech_prob": 1.736468954738335e-11,
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    {
      "id": 65,
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      "text": "千辛3.8RTB这个模型,除了它的agent能力很强外。",
      "tokens": [
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      "avg_logprob": -0.12815574158069698,
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      "no_speech_prob": 1.736468954738335e-11,
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    {
      "id": 66,
      "seek": 25498,
      "start": 271.98,
      "end": 274.98,
      "text": "它还是一个原生的视觉语言模型。",
      "tokens": [
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      "no_speech_prob": 1.736468954738335e-11,
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    {
      "id": 67,
      "seek": 25498,
      "start": 274.98,
      "end": 275.98,
      "text": "因此它是可以看图的。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.736468954738335e-11,
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    {
      "id": 68,
      "seek": 25498,
      "start": 275.98,
      "end": 279.98,
      "text": "这里我找了一堆笔的图片,看它能不能数得清楚。",
      "tokens": [
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      "no_speech_prob": 1.736468954738335e-11,
      "source": "whisper"
    },
    {
      "id": 69,
      "seek": 27998,
      "start": 279.98,
      "end": 281.98,
      "text": "好,这里它已经数完了,我们来看一下。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.2389937106918238,
      "no_speech_prob": 1.4887049926137763e-11,
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    },
    {
      "id": 70,
      "seek": 27998,
      "start": 281.98,
      "end": 284.98,
      "text": "它这里说15支笔,我们来数一数对不对。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.4887049926137763e-11,
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    {
      "id": 71,
      "seek": 27998,
      "start": 284.98,
      "end": 292.98,
      "text": "1,2,3,4,5,6,7,8,9,10,11,12,13,14,15。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.2389937106918238,
      "no_speech_prob": 1.4887049926137763e-11,
      "source": "whisper"
    },
    {
      "id": 72,
      "seek": 27998,
      "start": 292.98,
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      "text": "成功数对了,而且它也没有被这一个笔杆和笔帽没有在一起的笔给干扰。",
      "tokens": [
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      "no_speech_prob": 1.4887049926137763e-11,
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    },
    {
      "id": 73,
      "seek": 27998,
      "start": 297.98,
      "end": 302.98,
      "text": "接着我们将本地的约条3.8RTB进入到我们的DVSIC HANIS中。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.2389937106918238,
      "no_speech_prob": 1.4887049926137763e-11,
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    {
      "id": 74,
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      "text": "首先我们在LM1919里面点击左侧的第二个图标。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.2389937106918238,
      "no_speech_prob": 1.4887049926137763e-11,
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    {
      "id": 75,
      "seek": 27998,
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      "text": "我们把运行按钮打开。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.23204879314578764,
      "compression_ratio": 1.2389937106918238,
      "no_speech_prob": 1.4887049926137763e-11,
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    {
      "id": 76,
      "seek": 30798,
      "start": 307.98,
      "end": 309.98,
      "text": "然后点击这里的加载模型。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.10326761038192196,
      "compression_ratio": 1.3087818696883853,
      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
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    {
      "id": 77,
      "seek": 30798,
      "start": 309.98,
      "end": 311.98,
      "text": "选择我们要加载的千万3.8RTB。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.3087818696883853,
      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
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      "id": 78,
      "seek": 30798,
      "start": 311.98,
      "end": 314.98,
      "text": "加载完成后我们来到DVSIC HANIS中。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
    },
    {
      "id": 79,
      "seek": 30798,
      "start": 314.98,
      "end": 317.98,
      "text": "点击左下角的设置,点击模型。",
      "tokens": [
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      "no_speech_prob": 1.6427199878155108e-11,
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    },
    {
      "id": 80,
      "seek": 30798,
      "start": 317.98,
      "end": 320.98,
      "text": "然后我们可以点击添加自定义配置方。",
      "tokens": [
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
    },
    {
      "id": 81,
      "seek": 30798,
      "start": 320.98,
      "end": 323.98,
      "text": "Provide ID这里一定要是小写字幕开头。",
      "tokens": [
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
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    {
      "id": 82,
      "seek": 30798,
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      "end": 325.98,
      "text": "显示名称这里我们随便填。",
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
    },
    {
      "id": 83,
      "seek": 30798,
      "start": 325.98,
      "end": 329.98,
      "text": "API地址这里我们从LM Studio这里复制一下这个地址。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.3087818696883853,
      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
    },
    {
      "id": 84,
      "seek": 30798,
      "start": 329.98,
      "end": 333.98,
      "text": "注意这个地址粘过来之后需要在后面加上斜线V1。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
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    {
      "id": 85,
      "seek": 30798,
      "start": 333.98,
      "end": 335.98,
      "text": "API协议选择OpenAI Comulations。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.6427199878155108e-11,
      "source": "whisper"
    },
    {
      "id": 86,
      "seek": 33598,
      "start": 335.98,
      "end": 339.98,
      "text": "模型目录这里我们同样是从RM Studio这里复制过来。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1167558705584603,
      "compression_ratio": 1.2212121212121212,
      "no_speech_prob": 1.4115650488755183e-11,
      "source": "whisper"
    },
    {
      "id": 87,
      "seek": 33598,
      "start": 339.98,
      "end": 341.98,
      "text": "助理这里很容易复制过来空格。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1167558705584603,
      "compression_ratio": 1.2212121212121212,
      "no_speech_prob": 1.4115650488755183e-11,
      "source": "whisper"
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    {
      "id": 88,
      "seek": 33598,
      "start": 341.98,
      "end": 342.98,
      "text": "别问我为什么知道。",
      "tokens": [
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      "avg_logprob": -0.1167558705584603,
      "compression_ratio": 1.2212121212121212,
      "no_speech_prob": 1.4115650488755183e-11,
      "source": "whisper"
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    {
      "id": 89,
      "seek": 33598,
      "start": 342.98,
      "end": 345.98,
      "text": "我们在对话空中将模型修改为千万3.8RT。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.4115650488755183e-11,
      "source": "whisper"
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    {
      "id": 90,
      "seek": 33598,
      "start": 345.98,
      "end": 347.98,
      "text": "然后进行连通性测试。",
      "tokens": [
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    {
      "id": 91,
      "seek": 33598,
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      "end": 350.98,
      "text": "回复任意一句话能够受到对应的回应就为成功。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.4115650488755183e-11,
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    {
      "id": 92,
      "seek": 33598,
      "start": 350.98,
      "end": 353.98,
      "text": "大家在本地部署的过程中遇到任何问题,",
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      "no_speech_prob": 1.4115650488755183e-11,
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    {
      "id": 93,
      "seek": 33598,
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      "text": "也可以先给Hanis配上个线上的API。",
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      "no_speech_prob": 1.4115650488755183e-11,
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    {
      "id": 94,
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      "text": "让Hanis直接帮你修。",
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    {
      "id": 95,
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      "text": "我们让它生成一个飞行小游戏来测试一下。",
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    {
      "id": 96,
      "seek": 35798,
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      "text": "与此同时我们再让它去写一个科幻小说。",
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    {
      "id": 97,
      "seek": 35798,
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      "text": "毕竟本运行超恨可是不要钱的。",
      "tokens": [
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    {
      "id": 98,
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      "text": "怎么好像运行的还挺流畅的。",
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      "temperature": 0,
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    {
      "id": 99,
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      "text": "估计还有余力。",
      "tokens": [
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    {
      "id": 100,
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      "text": "再给安排个生成天体的任务吧。",
      "tokens": [
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    {
      "id": 101,
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      "text": "生产队的驴都估计没我电脑忙了。",
      "tokens": [
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    {
      "id": 102,
      "seek": 35798,
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      "text": "我只求你别冒烟。",
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    {
      "id": 103,
      "seek": 35798,
      "start": 374.98,
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      "text": "可以看到RM Studio这里三个任务都给跑起来了。",
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    {
      "id": 104,
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      "text": "我这电脑的风扇也是嗚嗚的转。",
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    {
      "id": 105,
      "seek": 37998,
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      "text": "好像开始卡了。不行了。",
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      "temperature": 0,
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    {
      "id": 106,
      "seek": 37998,
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      "text": "我这鼠标已经非常难用了。",
      "tokens": [
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    {
      "id": 107,
      "seek": 37998,
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      "text": "不过看这个任务它还是在运行的。",
      "tokens": [
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    },
    {
      "id": 108,
      "seek": 37998,
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      "text": "但是我这已经操作不了电脑了。",
      "tokens": [
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    {
      "id": 109,
      "seek": 37998,
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      "text": "我想把鼠标移动到听纸这里。",
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    {
      "id": 110,
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      "text": "但是非常难移动。",
      "tokens": [
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      "temperature": 0,
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    {
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      "text": "而且点击也没什么反应。",
      "tokens": [
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    },
    {
      "id": 112,
      "seek": 37998,
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      "text": "这个应该是内存频引导致的。",
      "tokens": [
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    },
    {
      "id": 113,
      "seek": 37998,
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      "text": "因为本次这个电脑的话是三十二级内存。",
      "tokens": [
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    {
      "id": 114,
      "seek": 37998,
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      "text": "运行一个任务的话应该是一点问题没有。",
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    },
    {
      "id": 115,
      "seek": 37998,
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      "end": 403.98,
      "text": "但是如果运行多个任务的话,",
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      "temperature": 0,
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    },
    {
      "id": 116,
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      "text": "它上线纹都夹在内存中是肯定撑不住的。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.4978322401826283e-11,
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    },
    {
      "id": 117,
      "seek": 37998,
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      "end": 408.98,
      "text": "所以大家一定要根据自己的情况去执行这个。",
      "tokens": [
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      "temperature": 0,
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      "no_speech_prob": 1.4978322401826283e-11,
      "source": "whisper"
    },
    {
      "id": 118,
      "seek": 40898,
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      "end": 410.98,
      "text": "任务啊。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.1536545052912563,
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      "no_speech_prob": 1.3258687550643522e-11,
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    {
      "id": 119,
      "seek": 40898,
      "start": 410.98,
      "end": 413.98,
      "text": "包括其实LM199它其实是可以设置上远文长度的。",
      "tokens": [
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      "no_speech_prob": 1.3258687550643522e-11,
      "source": "whisper"
    },
    {
      "id": 120,
      "seek": 40898,
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      "end": 416.98,
      "text": "如果你内存不够高的话,尽量设置的低一点。",
      "tokens": [
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      "temperature": 0,
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      "compression_ratio": 1.4130434782608696,
      "no_speech_prob": 1.3258687550643522e-11,
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    {
      "id": 121,
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      "start": 416.98,
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      "text": "比如说64K以下。",
      "tokens": [
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      "no_speech_prob": 1.3258687550643522e-11,
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    {
      "id": 122,
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      "text": "而且不要像我这样一聘同时执行好几个任务。",
      "tokens": [
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    {
      "id": 123,
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      "text": "我替你试过了,你就不要去试了。",
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    {
      "id": 124,
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      "text": "把电脑搞冒烟可不是那玩的。",
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    {
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      "text": "我这里想说任务管理器里面结束任务。",
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    {
      "id": 126,
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      "text": "但是任务管理器已经卡成一张精彩图片了。",
      "tokens": [
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    {
      "id": 127,
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      "text": "我这里是好不容易把录片软件给退了。",
      "tokens": [
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      "no_speech_prob": 1.3258687550643522e-11,
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    {
      "id": 128,
      "seek": 40898,
      "start": 433.98,
      "end": 434.98,
      "text": "然后才能操作鼠标。",
      "tokens": [
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      "no_speech_prob": 1.3258687550643522e-11,
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    {
      "id": 129,
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      "text": "把后来提要两个任务关闭了。",
      "tokens": [
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    {
      "id": 130,
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      "end": 438.98,
      "text": "就会排生成的。",
      "tokens": [
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    {
      "id": 131,
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      "text": "我们来看一下生成结果吧。",
      "tokens": [
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    {
      "id": 132,
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      "text": "生成结果还是很出乎我的意料的。",
      "tokens": [
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    {
      "id": 133,
      "seek": 43698,
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      "text": "你别看这只是一个简单的飞行射击小游戏。",
      "tokens": [
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    {
      "id": 134,
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      "text": "它处理的这些碰撞啊,移动啊,包括敌人的生成啊,都没有任何问题。",
      "tokens": [
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      "no_speech_prob": 1.3416649735642494e-11,
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    {
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      "text": "这对于一个27B的小模型来说是非常厉害的。",
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    {
      "id": 136,
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      "text": "而且这还是只是一轮停止词的情况下。",
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    {
      "id": 137,
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      "text": "如果多轮对话的话,它的潜力还有非常大的发布空间。",
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    {
      "id": 138,
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      "text": "我认为这个模型是真的可以多为生产地的一个模型了。",
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    {
      "id": 139,
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      "text": "然后我们再来看一下它生成的这个空白小说啊。",
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    {
      "id": 140,
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      "text": "虽然我中途停止了,但它生成了也很多东西了。",
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    {
      "id": 141,
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      "text": "而且我看它这个内容真的让我非常的震惊啊。",
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      "id": 142,
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      "text": "我就一点看不出这是AI写的。",
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    {
      "id": 143,
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      "text": "虽然它这个东西写的是一个老套的星际移民的故事啊。",
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    {
      "id": 144,
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      "text": "但它这个东西让我看设定的时候,我一下子想到的就是美剧那个什么羊毛战记啊。",
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    {
      "id": 145,
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      "text": "就是末日地宝那个。",
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    {
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      "text": "就是人们挤在地下桶堂里边,然后高层靠着野蛮真相维持生存的秩序啊。",
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      "temperature": 0,
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      "no_speech_prob": 1.8784437547103572e-11,
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    {
      "id": 147,
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      "end": 489.98,
      "text": "包括它的一些场景设定啊。",
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    {
      "id": 148,
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      "text": "比如说,呃,集水柱啊。",
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    {
      "id": 149,
      "seek": 47998,
      "start": 492.98,
      "end": 493.98,
      "text": "然后墙上的救赎啊。",
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      "text": "就人死了之后它会。",
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      "text": "其实它不是说是死了,就直接上传数据了。",
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      "text": "而且它也保留了集水柱。",
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      "text": "我就觉得就很有画面感。",
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      "text": "就这个画面可能最后做出来就很震撼。",
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    {
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      "text": "好了,感谢大家能听到我讲到这里啊。",
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      "text": "后面我会给大家分享更多的AI相关的知识啊。",
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      "text": "大家如果感兴趣的话记得关注一下。",
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      "text": "我是VV,在这里谢过大家了。",
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