本帖最后由 仓岛千百合 于 2025-1-28 02:38 编辑
OrianaThomson 发表于 2025-1-28 01:56
这楼也发个本地部署
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
32b 电脑配置12400F+3060TI
话说本地部署了怎么让写小黄文，试了一下还是显示政策原因写不了
说是有 600Gbps？
网页API似乎修好了，但是chatbox本地api开始无法调用reasoner了
仓岛千百合 发表于 2025-1-28 02:30
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
...
你用个1.5或者4b试一试就可以了，你32b太为难你的显卡
仓岛千百合 发表于 2025-1-28 02:30
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
...
本地部署就看你催眠术的水平了
gammatau 发表于 2025-1-28 02:40
本地部署就看你催眠术的水平了
能举个例子吗？
仓岛千百合 发表于 2025-1-28 02:30
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
...
32B还是得配置高点
本帖最后由 仓岛千百合 于 2025-1-28 02:45 编辑
moeblack 发表于 2025-1-28 02:39
你用个1.5或者4b试一试就可以了，你32b太为难你的显卡
请问怎么删掉这个32B的内容在重新下。
仓岛千百合 发表于 2025-1-28 02:30
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
...
应该是显存不够吧.你的GPU没法把整个网络都放到显存里,所以推理的过程中就会不断的有数据在内存和显存之间交换,这个过程挺慢的.
仓岛千百合 发表于 2025-1-28 02:43
请问怎么删掉这个32B的内容在重新下。
问R1哈哈哈哈，我今天也忘记了，然后问的r1
OrianaThomson 发表于 2025-1-28 01:56
这楼也发个本地部署
老黄知道自己的40系能跑671b吗
moeblack 发表于 2025-1-28 02:49
问R1哈哈哈哈，我今天也忘记了，然后问的r1
看了一下，听说32B以下模型效果都不太理想...慢就慢吧，请问下，这玩意如果不使用对电脑性能没啥影响吧
仓岛千百合 发表于 2025-1-28 03:02
看了一下，听说32B以下模型效果都不太理想...慢就慢吧，请问下，这玩意如果不使用对电脑性能没啥影响吧 ...
我的建议是直接用官方的api，官方api可以SESE的
moeblack 发表于 2025-1-28 03:03
我的建议是直接用官方的api，官方api可以SESE的
API现在崩了吗 用chatboxai输入秘钥后跟它说话没反应。
李开复说他早已预料到
以前觉得这种攻击是上不得台面的手段，只有小企业才这么干，结果世界头部企业也这么玩
—— 来自 鹅球 v3.3.96
没有接触过酒馆，大家说的酒馆是指这个SillyTavern
—— 来自 鹅球 v3.3.96
riin2 发表于 2025-1-28 03:23
李开复说他早已预料到
李开复自己的YI都放弃开源了。它那个YI还是第一个支持中文非常好的开源模型呢。后续的迭代更新模型看评分是不错，问题是他闭源啊。开源不如llama qwen （过去的deepseek虽然也开源，但是它太大了，个人/小企业不如买它的白菜价API），闭源不如各**厂闭源API
本帖最后由 泰坦失足 于 2025-1-28 03:57 编辑
https://www.reddit.com/r/LocalLL ... 131gb_dynamic_gguf/
你可以在 2 个 H100 80GB GPU 上载入所有层以 140 个 token/s 的速度。像 RTX 4090 这样的 24GB GPU 应该能够获得至少 1 到 3 个 token/s。
感觉再量化一点就正好能把671b塞进一个project digits, 或者按官方说的，两个project digits连接，达到256G统一内存，怎么都够了.
仓岛千百合 发表于 2025-1-28 02:30
已经本地部署了，试用了一下，为啥比在线版慢很多啊，在线一下就出来一堆字，这个两个字两个字的往外蹦。
...
32b要20G以上显存
我16G显存用的14b，我用32b也明显比14b慢
—— 来自 鹅球 v3.3.96-alpha
api还没恢复么 这网页动不动不能回答 或者撤回也太难受了
4060显卡试了一下8b，慢得很，1.5b又太弱智，连1.11和1.9谁大，都能回答没有学过。
https://qwen.readthedocs.io/zh-cn/latest/benchmark/speed_benchmark.html
32B 参考纯GPU运行int4的最低显存要求是18.94显存。Ollama使用的GGUF，超了不会爆显存但是会载入到CPU内存中，进一步的会载入到虚拟内存中。反正我的经验是只要显存不能全部放下，速度就开始慢了。
除此之外，上下文的长度会进一步加大显存占用
6144tokens 约4200个汉字还是10000个？记不得是乘以还是除以0.7了. 显存需求达到21.09G，14336 tokens 24.67G
OrianaThomson 发表于 2025-1-28 01:56
这楼也发个本地部署
tmd，我显卡渣渣，但是内存512g
没救了只能api了吧
blob:https://bbs.saraba1st.com/a5cfde17-4913-4333-a240-e64112316bd2
老马继续暴露无知
老马继续暴露无知
本地部署对比了下32b和14b，还是32b给的答案更符合
所以接下来是租个服务器跑吗，是不是还能炼色图（？）
----发送自 STAGE1 App for Android.
本帖最后由 黄泉川此方 于 2025-1-28 05:24 编辑
网页版对比32B联网
前端用的网页插件Page Assist
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**QwjL0Hj0b1Gxo7MlHulLOfphfNySs2vFKpfkNjR03hDIodNeXy1Zumow78ODk4eXoblNcT3vj9Dhk2FRBaT5idk3f6twu8YCpS1xNm51wlavJMKeXf1JnJza+neQOtm3QjVrjLl7J5yWZh5da7ZZyL8luQRdLW46B1i/qO8miv/elNNN5NKdfTKb9177sDzURT/rKi0CtQsPZTO9zm8OuYtXDlnz0kPRYbXKxbCZNmN7zeeqHLkhICtWBoO7lDsZENlbaxU5gclMMc7+zsTNu2h0ZNM89c9Duj8P2xUzRTYjWcQPYpj3B0dnae/PXs38ITHTsveU19Q6MCwf6yrKJq9qJVVMP6**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**FllYn5i4zDNOv9Yhm0hX3GxeEapbvJGAa0/WrebmFvlYnWmzlgQ6N94VsPKzLa2tdAadPN4thMi7nq/MtNNTPCxm0xCWwyc3FUjnlSDXSkq1oocs3zEM48z5HD7bXj+DgIPVKzsOh63OXrfqGxpnL3q1OD4qOtb0DCR6a9pprnyVo6Wl9bPlr2bauL3MaSAHp8QKgl8PSoDOLzlk51mmBM6oTRPPBxp4Rk4uK6/k6ORqXV8sLkfBnSrTJe9WXTEKQY5OSZ5z3dq1/zA1g6KiY/WthzTaLP9EX0V4+/3RiTMW795/5H7RI2WImLdb8EJW+X0VN3fgjh4//eSpSZ9S8S+vx6HqiCcaA12YEwG6pXQXZBZy3svW5sQt73GRw1TcHEXXdWvz9n3y6F9lVQ2dtM3F8vCPJ11uj97SoarHPgGmfrh+l7dxyLrl+yaCVHnFj5vey91Zos0LcOSlXGXllUNH+75k8X7chN37jygfH2GriBmSYNUcVrKyF3RL3l2knNPBieHKtIu6Je+26RMTd/DIT/qqAY7UysGfd6Hv1SlLiuThLKVu5QC5gFh5YJ+BOjhkLiCBhsCordL24GHJomXraHXS87KK9+Mm0PdraO2SfXGQJ7FMa3n+/st/B8Rff31mAr8Cv51uBgHplhCClv9xp4qjOHEq66+ZbPOBSvYmO5iY1Yoh2bNDt2EYpc/Lv/p678DY8VQzJ0yazTsgeRN034Hx6zelK8fPWkUR7rrF3YXEGYurqmufPS//7dyljZt3jk+ce/LXs3LeO9Eq2U/v65Ycu+zmYqkoCueZqSbxr+TQ/bAgKcNHeiwdHd4vvtpBY00DPOPk1WhKLD10SfuZlMWEv527JA9ERPUbmjRn6Y38Al7LxKse+g6M/zXrgt9amxCZnjyttCfokkeZrGo9hUZLS+uSVRt5AuCz5etNvw7MVYNeYXGAhfeK3v5rf5LChD3IpyIF1OnkENiRvuc7skZ91OVfr1sEgVa602kRLrfnq6/30liW/UcUeUWGzSdv2IB5qSFjl+suxcCoUlYWMNvs36Lio+wF5LWs+sIQqxND/pxH4A34TlZ8yBvw+b3I0dzccqvg7nff/5w4Y7F8CGf0oFHKiJ8Q4lHJ0/FT5nHBeT9uworUr05lnKPlHkqPkMIPa92qq2/gTeDUApKre3vhCXTJssKdL9m87Ls77F938Fb2dz4Yq8ygKPu3aI5HGSv7c12yrkl6LIofnhF0uT3K2Xq6btExBFvTD5DpWC2d0iPtlju8T1MpeNQXPHr8NDfTuHo9diLjT5GQj82Nio5dtW6L/XcvCZFsQg7dSrVi+tby1zei+g3dvuugzZoRTolVq/Z2wT2afDI9XE4+kFc+rco0YX5vUhVg9RUYtn8rCH492CSAdvOYNhoqq2r4xF77pobNN1y4iWCVeH37MzUmMs9epI16yiIX+V14k5YTK1KO7JIbBHrzhXNED5leRHmvispqWhAof56bxjDlhayceM4yPfyA7ugNnaPHTw0ePpHVmkOLio4d9fGMn09lmbbk6Fyxe/eL5y9J1Z+lQHhBDb1FWOsWT3vw+/s+2v3B2PGJc1M3fC2PqHZ0eB8/fcYtcWUBNL1qZ2enzZEwnKmKg/M4aN2iEEwbziQh1N/il9X7+4omKSmkS9mPfFqdPt9uqltkOrSXnsYWSp6UmkbU7Te53aq3SSmuzs7Oy1dvKotxJ36ysLm5xTCMX7MucIOu/+AxNqu6CZF+kpPpPPDy1DT+CoZNrUcplEXLSeePuzim40u+Q+tfb7oaPu6T2rp6mbksWt0yJcm1JB1sqGw09rut2K8HebGAvPtYqbvlMh6Q26ZgKvW7jJEM/vLVm9zN+mDEZFoBSAcr23/zmnszNp0taqRyRSxvBlfeXTEwyhFl/TAtKjbVLR6xZBQ8daescnxlrtaf1qRDt/vExM357HOrcrE8NY286brFa31pEdAHIyavSP0qO+dq8+szIpQs0C87Orx3/riXtm3PyI9mcLnmFZ7sP6x1i3Y4Jc5YvOWb/ZcuX6usqpGVid9BCEGNi4Gx469c+53uK/2t3Cs3/jynxMm3kuVgZfNim1A8+L2k2VGlvUBP0Q5QWtFeXlFFRejwj75Pccv/ZE2S78tu9lNX30CfGHe5PbwWQ/ZppVssXb4vFPTi+hfaj2XaMJSTbRjGvfvF9LUq5TDA2wX3uPbhQ9n1iTpCxKOycuCmbq/3Zd61/IysbNMTcfgRuWvrcMgu98oNGj/gExY4NHLwgQVK55tn9Vxuj9U4pBwUbWu7VXCXdgLIP7GbFxzSQVDcUAtIPBx6Vmq6bonLpmDa6FZ9Q+O85DU0wNAnJm7nvsNPS58PiZ/EvR8+vFsZriBuvCJDXvXASNnBYwn6vjr53U11S3kvsl5T3RJC0FxaVHTsz6eyhBD0jYK3+g+z+tQIp1B2cGr9LuulOsT05LDfzl06diJj1MczbExCrgwpKBvPcxevLrj7QGm9hbtuyVit3F7vSxphkzvjim7xZyN4vaZVaMp9Ni/FjBRvNpd0EoRSYnX/dN6B6RQua5JNs0X2QzP2pqLFm52tXocmUf3OFenpD+4ON9Cs0qMHW/qsbO/Bo8p3LuRqiDZO6surAtUtPWrTO7TYlSJ1qPd8noIiwBQ+L0hRfm1sekHfoKI1FAoB07TxuRtcoyne5HUZNBFi9XkqZYibLx3uOyb/vPtYSYbpJRc9500NJRxT3ZJXtflO0ho1hb7cwdGRNhiGwSfif/HVDmXUlxsW+uC2kgarc0w4OlZKfpDWUyglwl63+AufsSMT867l03d5Aq3r2FpsjlWkRNq0feXvmFipUUC6ZZr7/wbdYtzyPKqiW1xfv9V/2OnM82wifh1sXooZ+X2QPZAV6qsE2QN1dOjDFvq4UHDzW/0PTCQAACAASURBVPUNjXQ8gRwLue1tTvcv38nOyaMK6NtDx+T7wbm5sCkVdP7twqLix1Z9a6u4+Nw52q+jSy+VfKuy5Pe+XNg4DawxLreHP1nAv9o4qJdJfWK5ayj33uLHTZczkVumzocNuOKmE1IK/vl1Wnk82W9/1+pduIAonQYr/87vc8imNZeTcPj1OW0dHd6btwpol4J8FJ48ssKeeTmussGRmx0utyfN33eNa+vq+Vwr2TO/na5blNGJMxbLyzvtdUv+cixZsnMjIZL8sk4epMRYVYmMXV+CQG8tFyWb6oh+Ms39CNatzs7OP49645FcZUuyrlt84oZSHdgXADYvq0yyf1wIQX3BJas26jUpP2s/x2NvJRSIEz/k08ZQOD1WDhpTMu0UWj1ic5+/uCizZSXoOzB+yaqN+bcLlaauTYC0wOTazdumfRFCFNC+YxLpgbHjo6Jj5cLGaaCtC1RT6OtuuFNCDvnMBT6vgT4l9eWWXRlZ2d99/zPtBNd7b3L1p6w0U2IZPHyifEgmQ6Yw5y9JPfHXl8HT93xHw2KUeNPRMH5NGwcXEK7ubTwH9BOHbFpz+Q2qubmFV4SO/GjGyI9m0DKoM+dzdu8/4h408vjJTLlIcnTyi/B6ZpfbM2P+CjqOlldkyCdC2aSH2yhy54yj03WLDFV5a7pJaWNhkJPK3/Kmb4QG1DqXW0vKGY/6e/EBm0oK2ScnD7rlO+uzsqrm0uVrW77Znzhj8dvvj6bKLufKdZr5VLJQ1y0hBB+I7jdvOA/YvOS6lX/16+DFhPqslfys/RyPvSbJ34m3/zQtxRi0bvHKEb/D3/Kr2bh/+uW3PjFx8hdBhRAnfz0rz8dybXvp8rWABEyP17Q60L3pd0xtibwRTL99NfKgFGM+Rkh/XNm6IPcGdM/6HdlWZfPQfdId0+8L6xxM73ABUQqgqeeAbnLIVvWjaWj3HhQPGzOVF1Xrr3z2Qm5LS6t+yj5Hp7yILF3jEudUV9fyWcnKUZCm6eE1YrRUgZf8cXSKbvFxKkoy/OoW73uhV5696HOHxwi0tbWv35ROxPRlXPpLsSxZrYZlD4rBsxnLTUCb6oh+Ms39sO5**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**8yb+aCFd99//P9okfN2iYAaq4mzljc3NxSeK+INxzMXbya8kPJfuKeunF7zpXrnZ2dPa1bXBJMD9ak5RgkvXSkv1UtbKVbx09kKr17+ewfGpcYGDten//we2eAZxwtqJVthY5sN105InvrCXdHh/fshVz940AxQxLu/HHPYYyEMejWiVzYHMb4JngLQre4Xgs6L0wfdC6clC++wjI2icsCtY0cTln1UM7yHDyt7Tx6/PTu/UcysrLTtu2hCo02gTHABUv**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**LtaluUb3q1+zlZHS7u7Gx6cutu6kXG466RbXY6czzNNFF3XmFAtcgSo5yT8WqmS+EYFXQDwKQq0UlZC6ETnSL619lB4ZN+PyCcq+RZZWHZWz0mEOQHd2lW3KYbOI2usVt7ajo2AuX8pTH6ZIzkcvP7YJ70YN8ZxS9PXgMz4Qrz7IkKBmkeKNLaiBTW16vPU0fsbnJCbYvwLz5RmnSBiRFpp6PHj8tjz6ZumctXEkFZ+rMZFMPpjcpj9g+TdlSkvq9N+r3W3+cOJXlGTm5oPC+zYo7LjI6ecrE8VPmPX76jM9lkB3HT2a63B69DmV7Nk2hEKLwXpHpCyo32bq4pdt3YLyytISPhJi1cCU12tK27XG5PVRBKVLU0eGdl7zG5fYMHT1VPw5R8WxjY1Q78TiQqW7xOiOrddc8f6xMEnMiqURwuaP0UP7+d0D8rv2HlfUgu/Yf/u+A+L7vjtjz7ffKT3Tp8JxGmxf3+xNnvcvtCUfdIovkBoXL7dGbdVyD6ObLY9ymG7lkVdCH5rncBj2/RfR5/pZWLrW0ttJ9m/A523iWTh4Kk5Md0IE6cmbr1QdHSg7TulLxo/i0qsG5ztKrHg6Ql3TyfC8nwCpYIQSNorjcHnkIjsNUHBygDFPx4/ySrc4meUIIbmRwHUdRcGJsmHBiTD2zZpuOqnXlJtkG26derLixwonv7OysrWuYvehzq+WdbAO64dGLKPUmv7seF//E9myaQn7QLwrujNpv1aAt1bQYjws1jR8oUsSTmrwditPs/DBDLuZ8IKSpbnFc+sovjrS+oZF24PWJiTt45CcasqL5sLf6D6NNzQp/Njm/9HQPVtnB6em6o7qmjjeuha9uCSH48BJ9gQPXIDovrveVNRcErqKy+oMRvjWp8rQKM+Vy20XdYktVts3bhM9pYN1VxrV4IcOgYR89LX3O/u0dXM5t1itzM5MbmFw3WQXOJm5Vg3OdZROUHoh+R08AZ71S6nSfQoh9B3+gvLZJhumDpjc5aqu3FkJwW1jfusBv5yQxpp7Xb0rnzOpeB22XZPvUixVLgpx4XqjJy8plbmwD+kBxT+uWaachIyub+g36kElZeSUdoq90JuQ5ThpC4AMDFd0qq6hKnLHYtK3MtYEpVZkYtXjkNpauW7yq1qq5IIQor6gqfV5e+nr9LS1w4xHCJas2Zp7xDXgqJYhMLio6dmDseMW6eEuDvgWIfK7flC6/SE+7w1q3DMPYvH0f1TtxCUnlFVWMg2sQ3RTkVQx6k5wnikwtjMtt13Urfc93lHK5jrMJn15N9qC0UuUhUH0AnckoDlm3KD1O/ivXTUqAdMm1qvx2sk8e8bMJSg+E5g9shh+FEJz1SqmTY2c3e7YSezpKSh6hkt2N/zwajkMzfevm5pbCe0XyuXbyhDnX+6bDX5xgdjAcG4DsubscbH4TkhYqNXhGVvaXW3YpiTcMY8feQ2RR+iF+rFvcueF09rRuWUHTk0QHyNbWNeiT6JxachSXPEmavfTDMdPoLD5Ft4QQHR3e4pInylN0qXs29XbmfE5UdGz8uOkPHz0hO6QKcO7i1XRZVl5JXaWYIQk5V67v3n9k1botyt4YXhI1dWZyzpXrMUMSJiQtrKquoRFIUjuyLqUE0U1TdFyN6Flp+iI9fTOsdUtesulye+SCwTWIrlvyDJYy3SpPPPDUkYyYy23XdYuHs+Q6ziZ8SgZ3qpSU069WXTH5FRQ3G5wTuWI/prYrh8y1qvx2sgeuIGyC0gPR78hhkpuzXil1uk9Z5KwmzOQc4ddnh2JdHDV7sHHEjkxUNnvy29kw4bcIyDM/JatjEFWMPQ16WSXxPJWif0eDbUBPSfjolt+UVNfU8blWMmeHUkSPOPTs18AmTV9UU1u3advuzLMXaU+V3iDjISU6Ge7eg2Ja3FhVXTvq4xn0SReyLqUE0U0lfyn9vL7JyWIomVIPucNdt2gND80z93tvFM/+cQYrNQthkrsmcq+F97TqKzLoQbncKiFzIdQHGUzzhiyVVx/5DZ+GmPiURb2nKITg9PNghWnU8k1Zt2QUsh92O68r2WeY6xaVbaWXwO+rrCDVRUixAbY63ad8Jyo6dvaiVfpHiRiaadUgp0qWHyee5Wc5Fl0tZG+mbrZ/fZECf7pCTw8PQCnb47jI6Cnxqxb0FnpcbM9K1vDr0IP6Dipal8GLVjhJNimpq29Ys2FbVL+hpgcg6FKkHDAoD7XRaSymVP8Eyzs6Dv1wUn5q8PCJb78/ms4eo/sLlq7lyXKeEFFGX2hISa/iDMN48LCEupVEyblutbS20hJ/0kKmHSpHBOiWvAaGB164BrEyX9OuielNGT2X2y72t7h5ohxyYRO+EIIN0WYuis99MO0vyu9Cbi7nXVwHr4TMlWNXdIsnnwJal5GyehOJhKm0K+nk1WJWrY22tvbdB75XFpvRLlHdBtjq9HOeYkcmzl+Sujw17ejx01YnozM0vTpWkt0tuvXTL79NmZk8dWbyvfvFfgfBKAFsn6bFitJvmnia8Fe+o3H95u3/DvCdI84iwa9poxbkxyoutmfTFMrc5JaE7uYkmaakrr4hdcPXXNb6xMSdv3iFE08OXbeYnh6d/R1OjBIFDxiYviwv4uDFh3TYFZ3Qry86kwMnvM51i6foFqWsd2hLcnTd7o4A3RJCcIOOt45yDWKao0KIouLH73h8XzbjroncCVNaKIxVtjwlZG48mpZDDoEcPNynqIVN+EIInnuzt3L61XR+TklGN+47VkLmKthKt7h+sVkHz1OAiTMWUyuSIVsN6xmGsSjFt61SWaqnJI8vrTYksAdTB1VJNrpl9damofFNhmZa9bM3cvBiSysUin++5FjI/onVqI9nXL560+oABX6W7VMxfvJAIZsmXm5crk97NUXPKdHrZVO14GSw/OhxsV2ZppAfjB406mLuNXmqktwXc6/RRgtOkpKS4pIni1d8QYcc8gmZRf/cIEXp1HWLDxjUpwYnJC0kUdd/ysjKtvl4FVV0Vi/LXGwsqAAAIABJREFU9QwPpWSevej36zNMKSDdopQEun9UztNudEeGbnG7w+X2xI5MLH1e7le35NUZtKiU89imxudyq9dZXKX61S1uBymH9iqjUootykcmWh1USmMF3Aw8IX2OwcomuJwrCmrqnysavb5Q/LNPqxpcPjNCX05Gg6KsQLzql3d9yUuq5Kj9Bit7lpufDr8RRY/3kG7Jnb/Ms5Zfjqc0mM6PKm9neslZ8+PPv27YvFM+LzguISnnynUb9WL7V4yTIqKQrWzjwcOSd4eOlwdIyT+diqQklQnbN9H0uNieTVPINbL+ICWAS7GiW+OnzDtx+szYyXP42wVR/YbOXrTKap0F9z+skmH6vg49y8/a6xbXcrT7mE/LVZYiywGSm7ImIN26cCkvKjr2Hc9YZdZWD7wX7kSMbnGWuNyeVes2n848TxZvYwq8v5iGoWjPoM1+ZHtdYYv3q1vZOXksLZ/OXy4fM8H1gq6LLKvKERuKEbClKicCK974kst5L+uWvNFK/hARJ4w/U+Rye1iAeYuMVWr1bjQHaOWQe7GmZ6/oD3KtqlgXt5as1FoPSr4jd/7sh3nlHWBOhkPlWFi3qGquq29wrl5sn8qLU/j2ukUD3bIo2vhnwmGiW3IyogeNsv8MG9GgVzAFJWdHEJ7lx2Xdamxs+vMjJjdv/ePEeq6XEmcs/urrvVHRsW/1H+a3VRSEbpH12tdOcsp71B0xuiWEoFPF6KzulWs3+9UtHhj874D4C5fy6Nhm+/MmuNzqusL2Ya9buVdu8MGs8kISykWb8Ll9LY9Wm+Y967E+9ar7D6FucTpNO7g0oOFye5Rf7ecgWTn8tigZhdzi6RMTZ/rFL/YshCirqOLPdSq1EscenG7JbQ5lCYOcAHlxuekeRNmz7lZ0izwoEzYut2fUxzOu3rilzFWwfSovToHY6JCeDPuuD1X6Nudl0LCefsYg27NpCjlS001Ig4dPHBg7nnpUSn+LKpPYUVOOnchoaXl1SoAQwut9+eBhielZVj2kW7QuP+9a/qmMcxs37xwzcZasqXq9JG8WIp+mq0iUDApIt2rr6js6vGwbPDpCYdY3ND4tfa4YkmEY1TV1BXcfKDtJlGQEfRlJutXR4aUPYMsZaWW+RITPVJ34yUI6Y96+vuO80e3Dr26VlVf6vpH41weHaGTc9Mt1pt9TltvXflfsyD0Vv565nFv1YGTT4SrPapiFPbNPmxqc2w00FyX3O3nvpMvtWfvldtnoeXGKfqY1H9ZudbwNJ09x8IO+fOk3dM2GbabfI66rb9i281t5YI2naijALuqWclT84OET9e+LtrS0bttxgK3I74e/lTflitu0dVVZVaOY6Pgp8+TJG7Z/02IVqG4RLlNbokpfGafS30W/w/ZsmkL59eVaQncruvXhmGl37z+U7ZCipgVWfQfG//TLb0piul23eMujnlq6Q2LMU1mcHt6KQBsfnRxK4FC3ml40r9mw7YMRk2nvLFWnSsOaKsZhY6byh8gflTylj3tRNbhy7Wa57HOyu+KIJN1SjlqnvLQyX4LCC8fZFKxWZJB/Lrf2uqVvGpcrO+oR8tkqcvZYhc9jWU66UEII1mPFhuS4yM3lvCu6pS+64+/v9X13xKKU9fJ6PD75TQhx5nwOD5nGj5v+3fc/0/ZV/pSX6Z7/vQePUqM4Kjp28vTPjh4/fSrj3PLUNIZsejqD/u7yncyzF/lxUq+ESbM52fOXpL4fN4HnNsjD9l0HlYZ213VLPk2DbPL9uAn0fY3lqWnK5ysHeMbx9ynkd7F3c5OCq2bFf+mzMv7+p7Lpiu3TtFgFp1umMyJ00OLuA98HWqOxPZumkHUr6HUZCiuOTleLbtctHgMnfRr50Yxln385efpnLrdn7uLVza9PfFdSKISQx3iiomPXb0r3S9WvbslfNuelbSRRyhgAzXtx+1U+Ep1rXXnrrZ7+QO8YhhFhuiWEkD+hq6uLgkAemXG5PfoePcU/l1s9ZLm/xflh6ohLSMq7nq+ETJem4csrMuxXr3KYnBjFhtgDO7jgdUW35GSbvrJ8U64uDcPwidDrPqjsjT6XfqvgLieVHfZHxplKHT9r4yh6WMLNQCUlyuXYyXPkXgiH2XXd+nM+v7Oz89tDx2QRVWKny1Efz+AGLCfAicOvbtGimMtXb8aOmrJq3Wb5tAXOaIfnZdinh4a+uUaz9+zwV7Zne90y7eSZHpZv3/NjLZGtmpLa7brV0eEtq6hSBtbI5KxetqPDu3v/EWoa/nmY0/8OGM7GY2rADNlGt6IHjdqx91DsqCkUVN+B8bv3HyEh5DNjx06ewyMWtEWS1xnSOtiYIQk3bxV0d**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**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**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**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**VXa8uGEUm/a6z7/M6r52ywZbq6d2mo+jH3VQ8/MvU+8F53Ak6PbjHcvxP15JV5+QynjOZNOc66CXdx/YdkOtbrFj8HwEIMCTMTLqxj7u0EvZINupARcl2a02oVrfvaV3peutkVE7jOx/wMEb**0t58BaTINlSAK9q2Q3ht/Cgwv/M1GtqNw8Lwxd+Crcc5WgZgjHzyf71T6Bips/Zjt9vkbWkGBbnaLEoX81Fn+XD6oCo9w0gbFg5xQpjQA/HX5vllxzC5vNtJ57msnOtSNc7ZE2NjySUKPsG/bjmbQcfLx9Nsd+z15krF1JmDbgqUG9mNuNjIwI2nNaoNEXx4O8uOxd6mr88Yt5FtMIzaMuXOfWaw5oWDoOZa2x/9hbEarhkqeP+T+es2MNKcgV+bskeuYcqXygwpUdj4D3wS04ygCujebxkX0hH80bq4CYsLaWJwGm3br1GXmssTMUmoIkTOeM9F0Xhs45/a2loAUAR+E6wvmw6jVzVHvT6Y7+tR+GHBRkt1qE6r13Vt6V2q3KIpsgxxMgwSjcmna1vg7T9q/l49lu03MhoJ9K/znjCmRvscMd7SchF/bba4PNIr/GXVCkWPPmb**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
现在好是好了破甲没用了啊，他开始跳各种提示了
本帖最后由 qqks 于 2025-1-28 06:32 编辑
希望之花 发表于 2025-1-28 05:06
本地部署对比了下32b和14b，还是32b给的答案更符合
所以接下来是租个服务器跑吗，是不是还能炼色图（？）
租到服务器的话跑这个不是更好？
https://huggingface.co/unsloth/D ... eepSeek-R1-UD-IQ1_S
1.58bit DeepSeek R1 - 131GB 动态 GGUF : r/LocalLLaMA --- 1.58bit DeepSeek R1 - 131GB Dynamic GGUF : r/LocalLLaMA (reddit.com)
怎么黄文都不分享的，泥潭的互联网精神呢！
—— 来自 鹅球 v3.3.96-alpha
泥潭说有个静香的黄文流传于各大qq群，我至今仍未知道是啥
吴怀在 发表于 2025-1-28 07:06
泥潭说有个静香的黄文流传于各大qq群，我至今仍未知道是啥
我也在蹲啊
现在api的r1好像还在崩着，v3倒是能用了
阿刚 发表于 2025-1-28 06:06
现在好是好了破甲没用了啊，他开始跳各种提示了
671b的纯血r1已经量化到130多g显存要求了。那些魔改显存显卡可能三块就能跑。moe架构同时激活的神经元少。但是还都得在显存待命，不然生成速度依然受影响。
论坛助手,iPhone
啥情况？？网页版能用是因为这个？被夺舍了？？还是说他在演我？这也太奇怪了吧
我彻底迷茫了到底是深度思维在演我还是真的说漏嘴了
这是第一个问题我一开始没当回事，然后追问了下
这是第二个问题然后我发现他居然开始忽悠我
第三个问题他直接被打断了深度思考然后我重新发了一下思考内容就没了直接是答案
然后第四个问题他就直接反过来了
我尼玛什么情况啊
阿刚 发表于 2025-1-28 08:12
我彻底迷茫了到底是深度思维在演我还是真的说漏嘴了
这是第一个问题我一开始没当回事，然后追问了下
这是第 ...
第一次用吧?多用几个其他家的就习惯了
Rafale 发表于 2025-1-28 08:13
第一次用吧?多用几个其他家的就习惯了
所以这个深度思考也是在忽悠人的是吧
都是基于你问题的向量空间概率
—— 来自 鹅球 v3.3.96-alpha