Comments (3)
IlysvlVEizbr
commented on June 15, 2024
2
我不是jittor或chatglm的开发人员，目前做过一些尝试，最终还是没法用，复现步骤如下：
使用chatglm提供的int8量化模型，然后直接把pytorch替换成jittor版本的torch，直接跑会报个错：
jittor.nn.Linear类收到了额外的device参数
到python3.xx/dist-packages/jittor/nn.py里面Linear类的__init__函数中，加一个device=None参数即可抑制错误
然后再跑，不报错了，但是输出的逻辑全乱，倒不是乱码，只是毫无意义。
蹲一个官方解决方案
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AIxyz
commented on June 15, 2024
1
使用如下命令倒是能限制它推理时的显存占用不超过5G，运行内存占用不超过12G，但一开始加载fp16格式的chatglm模型时它要把运行内存全打满，很容易就被kill
export JT_SAVE_MEM=1
export cpu_mem_limit=12000000000
export device_mem_limit=5000000000from jittorllms.
mzzsfy
commented on June 15, 2024
同样的问题
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