更新后,查阅最新的官方文档,确认quantization_bit属性是否存在,以及如何正确使用。 2. 查阅文档和源代码 如果更新库后问题依旧,查阅最新的官方文档以了解ChatGLMConfig类的正确用法。此外,你也可以尝试直接查看库的源代码,以确认quantization_bit属性是否存在,以及它是否在某些特定条件下才被定义。 3. 检查代码引用 回顾...
quantization_bit可能是一个新版本中引入的属性,或者它可能根本不存在。 检查代码:检查你的代码,确保你没有误用quantization_bit属性。如果你是在尝试进行模型量化,那么可能应该在模型的训练或加载过程中设置这个属性,而不是直接在ChatGLMConfig对象上设置。 更新库:如果你确定quantization_bit是你需要的属性,并且你的Chat...
这个项目微调的时候可以设quantization_bit么?在sf_medchat.sh里怎么设?#41 Open chenxu126 opened this issue Jun 14, 2023· 0 comments Comments chenxu126 commented Jun 14, 2023 No description provided. Sign up for free to join this conversation on GitHub. Already have an account? Sign in ...
目前,既要保证识别效果,同时还要使用 8 bit 量化模型,一种比较完备的做法就是将推理阶段的量化操作迁移到训练阶段,如 Tensorflow 说明文档一章介绍 Fixed Point Quantization。采用 fake 的量化后的浮点来作为 input 和 weight 的替换,同时浮点范围采用了平滑最大最小值的方法,具体可以查看 TensorFlow 的官方代码 Movi...
The quantization bit rate expansion device includes a flat period detection unit that detects a flat period from the audio signal, a pattern determination unit that determines a profile pattern of the flat period according to a positive or negative sign of a preceding difference value immediately ...
examples/train_qlora/llama3_lora_sft_gptq.yaml i can not find quantization_bit param (but i see in LLaMA-Factory/examples/extras/fsdp_qlora /llama3_lora_sft.yaml) how can i set param to design 4/8 bit quantization Reminder I have read the README and searched the existing issues....
根据你提供的信息,如果系统环境不是Linux或不支持CUDA设备,则只支持8-bit量化。 如果系统环境是Linux且支持CUDA设备,则可能需要进一步检查以确认是否还支持其他类型的量化。这通常依赖于你所使用的深度学习框架或量化工具。 示例代码(假设使用PyTorch): 如果你在Linux系统上使用PyTorch,并且系统支持CUDA,你可以通过以下...
Quantization 8bit for yolov4 Abonnieren Mehr Aktionen Kartikeya Einsteiger 09-01-2020 10:27 PM 3.357Aufrufe Hi, I am trying to convert fp32 yolo model(trained on custom classes) into an int8 low precision quantized model. However upon conversion I am unable to see an...
Quantization 8bit for yolov4 Subscribe More actions Kartikeya Beginner 09-01-2020 10:27 PM 3,363 Views Hi, I am trying to convert fp32 yolo model(trained on custom classes) into an int8 low precision quantized model. However upon conversion I am unable to see any bounding boxes(...
As far as I know vllm and ray doesn't support 8-bit quantization as of now. I think it's the most viable quantization technique out there and should be implemented for faster inference and reduced memory usage.