{"text": "各位小伙伴晚上好。我是初级A。8月15號阿里开源3.8的27B大語言模型。有點突然但也不意外。而且之前在簽問3.6的時候已經感覺到簽問3.6模型的強大。現在3.8模型也是一個不少的升級。我們簡單來看一下它這裡的介紹。首先簽問3.8模型在代碼。專業工作中都有全面的改進。在推理思維上有高度的可控性。在完成複雜任務更加穩定可靠。有更強智能體A震的執行能力。這次開源的簽問3.8模型是更聰明更強大了。那接下來看一下它的量化模型。簽問的3.8、27B的量化的GGUF模型有許多個版本。大家可以根據自己的顯存大小來選擇模型大小的。比如16G顯存的話,可以選擇Q4、Q3的模型都可以。如果顯存有24G的話,可以選擇Q6、Q5的版本。另外這兩個是它的視覺模型。視覺模型等於是它的眼睛可以識別圖像。等於下載一個主模型和一個視覺模型。兩個都是一個視覺模型。選擇其中一個即可。另外簽問3.8、27B模型也有無限制版的。無限制版也是破線和越域版。它能回答更多受限的問題。大家都懂的。所以無限制版更加符合日常需求。同樣這個版本也有不同大小的。我們可以選擇Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4把文件夹名改成Modos把千万3.6的主模型还有视觉模型都放到Modos文件中然后把下载好的主程序解压好解压后的文件重新改名文件夹最好不要有中文出现我这边改成Lamma然后再把这个驱动文件再解压出来解压后把驱动的这三个文件剪切出来再复制到刚刚解压的主程序中最后再把Modos文件放到主程序中把这两个压缩包删除掉接下来我们用Workbody做一个启动文件首先选择刚才的Lamma文件夹直接写做一个Lamma快速启动器这里的模型我们选择是Kimi3或者是DeepSip我选择是Kimi3然后直接点发送就行了启动器这边已经做好了不想自己做的话启动器我会放网盘大家可以下载右键打开启动器的所在的文件夹双击启动选择主模型然后再选择视觉模型点启动再点打开WebUI启动要等一会儿因为要加载模型然后测试下编程能力做一个小游戏等了好一会终于搞好看来16G的显存用16G的模型还是有点吃力的要更快的速度的话只能用Q3的模型了接下来看一下游戏能不能玩直接打开游戏总体来说游戏是没有问题的是可以玩的游戏的功能现在是简单的初级阶段可以增加游戏的其他功能或者优化比如增加暂停优化动态效果等由于时间原因这里就不继续测试了感兴趣的小伙伴可以自行部署本地来玩下模型程序包和启动器都放网盘了有需要的小伙伴可以自行下载视频对大家有帮助的话来个三连谢谢了再见了", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 29.34, "text": "各位小伙伴晚上好。我是初级A。8月15號阿里开源3.8的27B大語言模型。有點突然但也不意外。而且之前在簽問3.6的時候已經感覺到簽問3.6模型的強大。現在3.8模型也是一個不少的升級。我們簡單來看一下它這裡的介紹。首先簽問3.8模型在代碼。專業工作中都有全面的改進。在推理思維上有高度的可控性。在完成複雜任務更加穩定可靠。", "tokens": [50365, 22073, 7322, 7384, 247, 7384, 112, 50157, 2131, 1543, 15914, 28727, 16853, 100, 32, 1543, 23, 6939, 5211, 18616, 13594, 15759, 18937, 47402, 18, 13, 23, 1546, 10076, 33, 3582, 31348, 12009, 41908, 39823, 1543, 42440, 40859, 5823, 8395, 6404, 1960, 9042, 12022, 1543, 22942, 32442, 3581, 24579, 121, 11361, 18, 13, 21, 20643, 25338, 31742, 4511, 24579, 121, 11361, 18, 13, 21, 41908, 39823, 1546, 22752, 3582, 1543, 12648, 18, 13, 23, 41908, 39823, 22021, 8990, 1960, 15686, 1546, 41670, 35315, 1543, 5884, 31995, 3763, 28324, 11284, 18771, 1546, 30312, 38193, 1543, 36490, 24579, 121, 11361, 18, 13, 23, 41908, 39823, 3581, 19105, 16337, 120, 1543, 46072, 27119, 41315, 5975, 48121, 11319, 8833, 1546, 34490, 18214, 1543, 3581, 33597, 13876, 8870, 9261, 255, 5708, 2412, 12979, 13127, 1546, 4429, 48707, 21686, 1543, 3581, 41509, 164, 97, 229, 6306, 250, 26443, 39517, 19002, 9990, 13740, 102, 12088, 4429, 5363, 254, 1543, 51832], "temperature": 0, "avg_logprob": -0.10965475266979587, "compression_ratio": 1.3154761904761905, "no_speech_prob": 1.0479675287278223e-11}, {"id": 1, "seek": 2934, "start": 29.34, "end": 59.18, "text": "有更強智能體A震的執行能力。這次開源的簽問3.8模型是更聰明更強大了。那接下來看一下它的量化模型。簽問的3.8、27B的量化的GGUF模型有許多個版本。大家可以根據自己的顯存大小來選擇模型大小的。比如16G顯存的話,可以選擇Q4、Q3的模型都可以。如果顯存有24G的話,可以選擇Q6、Q5的版本。另外這兩個是它的視覺模型。", "tokens": [50365, 2412, 19002, 22752, 5094, 118, 8225, 23987, 32, 18594, 229, 1546, 16262, 115, 8082, 8225, 13486, 1543, 2664, 9487, 8949, 47402, 1546, 24579, 121, 11361, 18, 13, 23, 41908, 39823, 1541, 19002, 8171, 108, 11100, 19002, 22752, 3582, 2289, 1543, 4184, 40012, 28324, 45224, 26748, 23756, 41908, 39823, 1543, 24579, 121, 11361, 1546, 18, 13, 23, 1231, 10076, 33, 1546, 26748, 23756, 1546, 27561, 52, 37, 41908, 39823, 2412, 40914, 6392, 3338, 42096, 8802, 1543, 6868, 6723, 31337, 36841, 17645, 1546, 46605, 39781, 3582, 7322, 3763, 21625, 13167, 229, 41908, 39823, 3582, 7322, 1546, 1543, 36757, 6866, 38, 46605, 39781, 21358, 11, 6723, 21625, 13167, 229, 48, 19, 1231, 48, 18, 1546, 41908, 39823, 7182, 6723, 1543, 13119, 46605, 39781, 2412, 7911, 38, 21358, 11, 6723, 21625, 13167, 229, 48, 21, 1231, 48, 20, 1546, 42096, 8802, 1543, 26202, 2664, 34623, 1541, 45224, 27333, 9463, 41908, 39823, 1543, 51857], "temperature": 0, "avg_logprob": -0.05979124915520877, "compression_ratio": 1.4436860068259385, "no_speech_prob": 1.2418017135418236e-11}, {"id": 2, "seek": 5934, "start": 59.34, "end": 89.34, "text": "視覺模型等於是它的眼睛可以識別圖像。等於下載一個主模型和一個視覺模型。兩個都是一個視覺模型。選擇其中一個即可。另外簽問3.8、27B模型也有無限制版的。無限制版也是破線和越域版。它能回答更多受限的問題。大家都懂的。所以無限制版更加符合日常需求。同樣這個版本也有不同大小的。", "tokens": [50365, 27333, 9463, 41908, 39823, 10187, 19488, 1541, 45224, 25281, 14221, 249, 6723, 43143, 16158, 2523, 244, 12760, 1543, 10187, 19488, 4438, 12290, 231, 8990, 13557, 41908, 39823, 12565, 8990, 27333, 9463, 41908, 39823, 1543, 34623, 22796, 8990, 27333, 9463, 41908, 39823, 1543, 21625, 13167, 229, 9572, 5975, 8990, 39127, 4429, 1543, 26202, 24579, 121, 11361, 18, 13, 23, 1231, 10076, 33, 41908, 39823, 6404, 2412, 16976, 43446, 25491, 42096, 1546, 1543, 16976, 43446, 25491, 42096, 22021, 39560, 31699, 12565, 25761, 16262, 253, 42096, 1543, 11284, 8225, 8350, 28223, 19002, 6392, 23151, 43446, 1546, 17197, 1543, 46525, 29624, 1546, 1543, 7239, 16976, 43446, 25491, 42096, 19002, 9990, 5437, 99, 14245, 6890, 11279, 32535, 32718, 1543, 13089, 6180, 6287, 42096, 8802, 6404, 2412, 47123, 3582, 7322, 1546, 1543], "temperature": 0, "avg_logprob": -0.06514321267604828, "compression_ratio": 1.4612546125461254, "no_speech_prob": 1.728538666367907e-11}, {"id": 3, "seek": 8934, "start": 89.34, "end": 119.34, "text": "我們可以選擇Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、", "tokens": [50365, 5884, 6723, 21625, 13167, 229, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231], "temperature": 0, "avg_logprob": -0.20068048040963074, "compression_ratio": 10.5, "no_speech_prob": 1.841952111669709e-11}, {"id": 4, "seek": 11934, "start": 119.34, "end": 149.34, "text": "Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4、Q4", "tokens": [50365, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19, 1231, 48, 19], "temperature": 0, "avg_logprob": -0.09432554886480084, "compression_ratio": 20.38888888888889, "no_speech_prob": 7.239950999826661e-11}, {"id": 5, "seek": 14934, "start": 149.34, "end": 151.3, "text": "把文件夹名改成Modos", "tokens": [50365, 16075, 17174, 20485, 1787, 117, 15940, 34490, 11336, 44, 378, 329, 50463], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 6, "seek": 14934, "start": 151.3, "end": 156.38, "text": "把千万3.6的主模型还有视觉模型都放到Modos文件中", "tokens": [50463, 16075, 20787, 23570, 18, 13, 21, 1546, 13557, 41908, 39823, 35091, 40656, 24447, 41908, 39823, 7182, 12744, 4511, 44, 378, 329, 17174, 20485, 5975, 50717], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 7, "seek": 14934, "start": 156.38, "end": 160.34, "text": "然后把下载好的主程序解压好", "tokens": [50717, 26636, 16075, 4438, 17819, 121, 20715, 13557, 29649, 6346, 237, 17278, 5014, 233, 2131, 50915], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 8, "seek": 14934, "start": 160.34, "end": 164.02, "text": "解压后的文件重新改名", "tokens": [50915, 17278, 5014, 233, 13547, 1546, 17174, 20485, 12624, 12560, 34490, 15940, 51099], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 9, "seek": 14934, "start": 164.02, "end": 166.18, "text": "文件夹最好不要有中文出现", "tokens": [51099, 17174, 20485, 1787, 117, 8661, 2131, 11962, 2412, 5975, 17174, 7781, 20204, 51207], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 10, "seek": 14934, "start": 166.18, "end": 167.92000000000002, "text": "我这边改成Lamma", "tokens": [51207, 1654, 5562, 40503, 34490, 11336, 43, 335, 1696, 51294], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 11, "seek": 14934, "start": 167.92000000000002, "end": 171.22, "text": "然后再把这个驱动文件再解压出来", "tokens": [51294, 26636, 8623, 16075, 15368, 24023, 109, 34961, 17174, 20485, 8623, 17278, 5014, 233, 44561, 51459], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 12, "seek": 14934, "start": 171.22, "end": 175.2, "text": "解压后把驱动的这三个文件剪切出来", "tokens": [51459, 17278, 5014, 233, 13547, 16075, 24023, 109, 34961, 1546, 5562, 10960, 7549, 17174, 20485, 5935, 103, 23632, 44561, 51658], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 13, "seek": 14934, "start": 175.2, "end": 178.62, "text": "再复制到刚刚解压的主程序中", "tokens": [51658, 8623, 1787, 235, 25491, 4511, 49160, 49160, 17278, 5014, 233, 1546, 13557, 29649, 6346, 237, 5975, 51829], "temperature": 0, "avg_logprob": -0.13075345876265546, "compression_ratio": 1.4262295081967213, "no_speech_prob": 1.0566061914296654e-10}, {"id": 14, "seek": 17934, "start": 179.34, "end": 183.18, "text": "最后再把Modos文件放到主程序中", "tokens": [50365, 8661, 13547, 8623, 16075, 44, 378, 329, 17174, 20485, 12744, 4511, 13557, 29649, 6346, 237, 5975, 50557], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 15, "seek": 17934, "start": 183.18, "end": 189.48000000000002, "text": "把这两个压缩包删除掉", "tokens": [50557, 16075, 5562, 36257, 7549, 5014, 233, 38109, 102, 23305, 2437, 254, 32999, 29327, 50872], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 16, "seek": 17934, "start": 189.48000000000002, "end": 192.9, "text": "接下来我们用Workbody做一个启动文件", "tokens": [50872, 14468, 4438, 6912, 15003, 9254, 28846, 1067, 10907, 20182, 2392, 107, 34961, 17174, 20485, 51043], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 17, "seek": 17934, "start": 192.9, "end": 196.72, "text": "首先选择刚才的Lamma文件夹", "tokens": [51043, 36490, 2215, 231, 6852, 102, 49160, 18888, 1546, 43, 335, 1696, 17174, 20485, 1787, 117, 51234], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 18, "seek": 17934, "start": 199.72, "end": 200.4, "text": "直接写", "tokens": [51384, 43297, 5676, 247, 51418], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 19, "seek": 17934, "start": 200.4, "end": 202.3, "text": "做一个Lamma快速启动器", "tokens": [51418, 10907, 20182, 43, 335, 1696, 10251, 31217, 2392, 107, 34961, 34386, 51513], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 20, "seek": 17934, "start": 202.3, "end": 206.12, "text": "这里的模型", "tokens": [51513, 35102, 1546, 41908, 39823, 51704], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 21, "seek": 17934, "start": 206.12, "end": 208.62, "text": "我们选择是Kimi3或者是DeepSip", "tokens": [51704, 15003, 2215, 231, 6852, 102, 1541, 42, 10121, 18, 31148, 1541, 11089, 595, 50, 647, 51829], "temperature": 0, "avg_logprob": -0.16395649341268276, "compression_ratio": 1.1203703703703705, "no_speech_prob": 2.6278023160242192e-11}, {"id": 22, "seek": 20862, "start": 208.62, "end": 210.96, "text": "我选择是Kimi3", "tokens": [50365, 1654, 2215, 231, 6852, 102, 1541, 42, 10121, 18, 50482], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 23, "seek": 20862, "start": 210.96, "end": 212.86, "text": "然后直接点发送就行了", "tokens": [50482, 26636, 43297, 12579, 28926, 29309, 3111, 46606, 50577], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 24, "seek": 20862, "start": 212.86, "end": 214.66, "text": "启动器这边已经做好了", "tokens": [50577, 2392, 107, 34961, 34386, 5562, 40503, 49161, 10907, 12621, 50667], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 25, "seek": 20862, "start": 214.66, "end": 215.8, "text": "不想自己做的话", "tokens": [50667, 1960, 7093, 17645, 10907, 44575, 50724], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 26, "seek": 20862, "start": 215.8, "end": 217.4, "text": "启动器我会放网盘", "tokens": [50724, 2392, 107, 34961, 34386, 1654, 12949, 12744, 16469, 239, 5419, 246, 50804], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 27, "seek": 20862, "start": 217.4, "end": 218.4, "text": "大家可以下载", "tokens": [50804, 6868, 6723, 4438, 17819, 121, 50854], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 28, "seek": 20862, "start": 218.4, "end": 220.96, "text": "右键打开启动器的所在的文件夹", "tokens": [50854, 22060, 23049, 106, 12467, 18937, 2392, 107, 34961, 34386, 1546, 5966, 3581, 1546, 17174, 20485, 1787, 117, 50982], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 29, "seek": 20862, "start": 220.96, "end": 222.22, "text": "双击启动", "tokens": [50982, 2129, 234, 6336, 119, 2392, 107, 34961, 51045], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 30, "seek": 20862, "start": 222.22, "end": 223.92000000000002, "text": "选择主模型", "tokens": [51045, 2215, 231, 6852, 102, 13557, 41908, 39823, 51130], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 31, "seek": 20862, "start": 223.92000000000002, "end": 225.78, "text": "然后再选择视觉模型", "tokens": [51130, 26636, 8623, 2215, 231, 6852, 102, 40656, 24447, 41908, 39823, 51223], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 32, "seek": 20862, "start": 225.78, "end": 227.94, "text": "点启动", "tokens": [51223, 12579, 2392, 107, 34961, 51331], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 33, "seek": 20862, "start": 227.94, "end": 229.46, "text": "再点打开WebUI", "tokens": [51331, 8623, 12579, 12467, 18937, 4360, 65, 46324, 51407], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 34, "seek": 20862, "start": 229.46, "end": 230.88, "text": "启动要等一会儿", "tokens": [51407, 2392, 107, 34961, 4275, 10187, 2257, 12949, 22933, 51478], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 35, "seek": 20862, "start": 230.88, "end": 231.92000000000002, "text": "因为要加载模型", "tokens": [51478, 34627, 4275, 9990, 17819, 121, 41908, 39823, 51530], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 36, "seek": 20862, "start": 231.92000000000002, "end": 233.76, "text": "然后测试下编程能力", "tokens": [51530, 26636, 11038, 233, 5233, 243, 4438, 38109, 244, 29649, 8225, 13486, 51622], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 37, "seek": 20862, "start": 233.76, "end": 234.68, "text": "做一个小游戏", "tokens": [51622, 10907, 20182, 7322, 9592, 116, 1486, 237, 51668], "temperature": 0, "avg_logprob": -0.11725918839617473, "compression_ratio": 1.3120300751879699, "no_speech_prob": 1.7243656155740972e-11}, {"id": 38, "seek": 23862, "start": 238.62, "end": 242.38, "text": "等了好一会终于搞好", "tokens": [50365, 10187, 2289, 2131, 2257, 12949, 10115, 230, 37732, 41816, 2131, 50553], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 39, "seek": 23862, "start": 242.38, "end": 243.78, "text": "看来16G的显存", "tokens": [50553, 4200, 6912, 6866, 38, 1546, 1431, 122, 39781, 50623], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 40, "seek": 23862, "start": 243.78, "end": 245.9, "text": "用16G的模型还是有点吃力的", "tokens": [50623, 9254, 6866, 38, 1546, 41908, 39823, 45726, 2412, 12579, 10123, 13486, 1546, 50729], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 41, "seek": 23862, "start": 245.9, "end": 247.34, "text": "要更快的速度的话", "tokens": [50729, 4275, 19002, 10251, 1546, 31217, 13127, 44575, 50801], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 42, "seek": 23862, "start": 247.34, "end": 248.8, "text": "只能用Q3的模型了", "tokens": [50801, 14003, 8225, 9254, 48, 18, 1546, 41908, 39823, 2289, 50874], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 43, "seek": 23862, "start": 248.8, "end": 251.62, "text": "接下来看一下游戏能不能玩", "tokens": [50874, 14468, 4438, 6912, 28324, 9592, 116, 1486, 237, 8225, 28590, 19912, 51015], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 44, "seek": 23862, "start": 251.62, "end": 252.62, "text": "直接打开游戏", "tokens": [51015, 43297, 12467, 18937, 9592, 116, 1486, 237, 51065], "temperature": 0, "avg_logprob": -0.1935293197631836, "compression_ratio": 1.1518987341772151, "no_speech_prob": 2.1282763745800182e-11}, {"id": 45, "seek": 25262, "start": 252.62, "end": 263.98, "text": "总体来说", "tokens": [50365, 33440, 29485, 6912, 8090, 50933], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 46, "seek": 25262, "start": 263.98, "end": 265.32, "text": "游戏是没有问题的", "tokens": [50933, 9592, 116, 1486, 237, 1541, 17944, 34069, 1546, 51000], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 47, "seek": 25262, "start": 265.32, "end": 266.16, "text": "是可以玩的", "tokens": [51000, 1541, 6723, 19912, 1546, 51042], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 48, "seek": 25262, "start": 266.16, "end": 267.42, "text": "游戏的功能", "tokens": [51042, 9592, 116, 1486, 237, 1546, 32311, 8225, 51105], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 49, "seek": 25262, "start": 267.42, "end": 269.14, "text": "现在是简单的初级阶段", "tokens": [51105, 25040, 1541, 11249, 222, 47446, 1546, 28727, 16853, 100, 10034, 114, 28427, 51191], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 50, "seek": 25262, "start": 269.14, "end": 271.84000000000003, "text": "可以增加游戏的其他功能或者优化", "tokens": [51191, 6723, 24228, 252, 9990, 9592, 116, 1486, 237, 1546, 9572, 5000, 32311, 8225, 31148, 7384, 246, 23756, 51326], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 51, "seek": 25262, "start": 271.84000000000003, "end": 273.28000000000003, "text": "比如增加暂停", "tokens": [51326, 36757, 24228, 252, 9990, 23826, 224, 36135, 51398], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 52, "seek": 25262, "start": 273.28000000000003, "end": 274.82, "text": "优化动态效果等", "tokens": [51398, 7384, 246, 23756, 34961, 3757, 223, 43076, 9319, 10187, 51475], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 53, "seek": 25262, "start": 274.82, "end": 276.08, "text": "由于时间原因", "tokens": [51475, 23786, 37732, 44848, 42577, 51538], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 54, "seek": 25262, "start": 276.08, "end": 277.52, "text": "这里就不继续测试了", "tokens": [51538, 35102, 3111, 1960, 10115, 100, 10115, 255, 11038, 233, 5233, 243, 2289, 51610], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 55, "seek": 25262, "start": 277.52, "end": 279.02, "text": "感兴趣的小伙伴", "tokens": [51610, 9709, 2347, 112, 39835, 1546, 7322, 7384, 247, 7384, 112, 51685], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 56, "seek": 25262, "start": 279.02, "end": 280.8, "text": "可以自行部署本地来玩下", "tokens": [51685, 6723, 9722, 8082, 13470, 16469, 110, 8802, 10928, 6912, 19912, 4438, 51774], "temperature": 0, "avg_logprob": -0.08821091397118022, "compression_ratio": 1.2567567567567568, "no_speech_prob": 1.6327878285538056e-11}, {"id": 57, "seek": 28080, "start": 280.8, "end": 283.82, "text": "模型程序包和启动器都放网盘了", "tokens": [50365, 41908, 39823, 29649, 6346, 237, 23305, 12565, 2392, 107, 34961, 34386, 7182, 12744, 16469, 239, 5419, 246, 2289, 50516], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}, {"id": 58, "seek": 28080, "start": 283.82, "end": 286.12, "text": "有需要的小伙伴可以自行下载", "tokens": [50516, 2412, 35748, 1546, 7322, 7384, 247, 7384, 112, 6723, 9722, 8082, 4438, 17819, 121, 50631], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}, {"id": 59, "seek": 28080, "start": 286.12, "end": 288.22, "text": "视频对大家有帮助的话", "tokens": [50631, 40656, 39752, 8713, 6868, 2412, 4845, 106, 37618, 44575, 50736], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}, {"id": 60, "seek": 28080, "start": 288.22, "end": 289.1, "text": "来个三连", "tokens": [50736, 6912, 7549, 10960, 3316, 252, 50780], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}, {"id": 61, "seek": 28080, "start": 289.1, "end": 290.02000000000004, "text": "谢谢了", "tokens": [50780, 19879, 2289, 50826], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}, {"id": 62, "seek": 28080, "start": 290.02000000000004, "end": 291.04, "text": "再见了", "tokens": [50826, 44176, 2289, 50877], "temperature": 0, "avg_logprob": -0.13335320306202722, "compression_ratio": 1.036764705882353, "no_speech_prob": 1.3734257654773874e-11}], "language": "zh"}