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 ...
QUANTIZATION BIT NUMBER ALLOCATION METHODPURPOSE: To reduce processing time for quantization bit number allocation processing by reducing a repetitive part in the quantization bit number allocation processing.KITAHATA OSAMU北畠 修
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...
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....
Quantization 8bit for yolov4 Abonnieren Mehr Aktionen Kartikeya Einsteiger 09-01-2020 10:27 PM 3.492Aufrufe 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...
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.
ValueError: [address=0.0.0.0:23614, pid=660] Model not supported, name: fuzimingcha_v1.0, format: pytorch, size: 6, quantization: 8-bit 使用过注册自定义模型的办法,但是报了另外一个错误。在[https://github.com/irlab-sdu/fuzi.mingcha/issues/13]中给出了使用AutoModel类的解决方法,但是xinfere...
5) quantization length 量化比特数 1. It s important to decide the necessary quantization length for design of a direct spread spectrum digital receiver. 量化比特数的确定是IF数字接收机设计的关键。 6) one-bit quantification 单比特量化 1. Time-delay estimation of sinusoidal signals based on on...