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...
[3]https://chenyaofo.github.io/tf32-bf16-in-deep-learning/ [4]https://huggingface.co/blog/zh/4bit-transformers-bitsandbytes [5]https://huggingface.co/blog/zh/hf-bitsandbytes-integration [6]https://towardsdatascience.com/4-bit-quantization-with-gptq-36b0f4f02c34 [7]https://towardsd...
We present a simple and computationally efficient quantization scheme that enables us to reduce theresolutionof the parameters of a neural network from 32-bit floating point values to 8-bit integer values. The proposed quantization scheme leads to significant memory savings and enables the use of op...
在保证计算效率的前提下, 可以对Activation使用per-channel的量化, 论文中叫Error Compensated Activation Quantization(ECAQ) 下面针对这两条分别说明, Bit-Split and Stitching Bit-Split and Stitching 常规的二进制, 第一位是符号位, 后面的是绝对值, 每一位只能取0或1. split的作用就是把符号位分配给每个bit,...
PURPOSE: To offer a quantization bit allocation system which can effectively utilize the total number of bits in a composite frame and improve the quality of a playback signal. ;CONSTITUTION: The quantization bit allocation system of a system which quantizes and encodes signals of plural channels...
基于低量化比特的数字通信系统技术方法分析-technical method analysis of digital communication system based on low quantization bit.docx,摘要摘要更高的数据传输速率和能量效率成为数字通信发展的趋势,数字模拟转换器(ADC)逐渐成为了数字通信中的瓶颈问题。由于精
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...
10 \ --save_steps 250 \ --cutoff_len 4096 \ --quantization_bit 8 \ --save_only_model True \ --learning_rate 1e-4 \ --num_train_epochs 5.0 \ --plot_loss \ --fp16 \ --group_by_length \ --use_fast_tokenizer False \ --lora_alpha 16 \ --lora_rank 8 \ --lora_dropout ...
However, there is a fundamental but unresolved problem,i.e., the rigorous understanding of the quantization of metasurface coding. Here, we theoretically investigate the performance difference between one-bit and continuous information-encoding metasurfaces. To this end,we derive analytical representations...
Low-bit Quantization of Neural Networks for Efficient Inferencearxiv.org/abs/1902.06822 一、文章核心点 主要提供一种低bit量化方案。 使用均匀对称量化,channel wise量化weight(文中称之为kernel wise)。定义量化损失为:量化前后的权重或激活的最小均方误差(MSE)。 绕过硬件不友好的混合精度方式,使用多次量...