export VLLM_VERSION=0.2.6 export PYTHON_VERSION=311 pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux1_x86_64.whl pip uninstall torch -y pip install torch==2.1.2 --index-...
ImportError: cannot import name 'cuda_utils' from partially initialized module 'vllm' (most likely due to a circular import) (/home/ps/app/edison/vllm/vllm/init.py) environment I followed the docs exactly Edisonwei54closed this ascompletedNov 1, 2023...
importtorchfromprevious_chaptersimportGPTModelGPT_CONFIG_124M={"vocab_size":50257,# Vocabulary size"context_length":256,# Shortened context length (orig: 1024)"emb_dim":768,# Embedding dimension"n_heads":12,# Number of attention heads"n_layers":12,# Number of layers"drop_rate":0.1,# Drop...
这次的代码和上一次文章的代码整合到一起,放在这里:Mxoder/LLM-from-scratch。 1. LoRA 原理 先稍微回顾一下 LoRA 原理: 通俗地说,LoRA 基于一个低秩假设:大模型的参数是冗余和稀疏的,其内在秩(可以理解为表征能力)是非常低的,因此可以用一种“降维”的方式来优化学习。 LoRA 原理示意动图,来源:https://hug...
import numpy as np # Import the 'functools' module for higher-order functions. import functools # Import the Adam optimizer from PyTorch. from torch.optim import Adam # Import the DataLoader class from PyTorch for handling datasets. from torch.utils.data import DataLoader ...
We discovered some issues while experimenting with the framework. Some packages are missing in the vllm directory: ImportError: cannot import name 'cuda_utils' from partially initialized module 'vllm' (most likely due to a circular import) ...
vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 CPU Affinity NUMA Affinity GPU0 X NV2 0-15 N/A GPU1 NV2 X 0-15 N/A Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., ...
我们使用一个包括两种类型(垃圾邮件/非垃圾邮件)的数据集提供给LLM去做分类。 首先,我们下载并解压数据集。 import urllib.request import zipfile import os from pathlib import Path url = "https://archive.ics.uci.edu/static/public/228/sms+spam+collection.zip" zip_path = "sms_spam_collection.zip" ...
最近做了一些大模型训练相关的训练相关的技术储备,在内部平台上完成了多机多卡的llm 预训练的尝试,具体的过程大致如下: 数据准备: 大语言模型的训练依赖于与之匹配的语料数据,在开源社区有一群人在自发的整理高质量的语料数据,可以通过 以下的一些链接获取 ...
from vllm.logger import init_logger from aioprometheus import Counter, Gauge, Histogram from prometheus_client import Counter, Gauge, Histogram, REGISTRY, disable_created_metricsimport time import numpy as np from typing import List from typing import Dict, List ...