Ubuntu 本地部署Ollama+OpenWebUI教程
本文将教大家在Ubuntu系统中，从零完成Ollama本地大模型部署与Open-WebUI可视化网页配置，全程采用虚拟环境隔离依赖、配置系统自启服务，最终搭建可远程访问的本地AI交互网页，无需联网调用、运行稳定、适配CPU及GPU本地部署场景，新手可直接复刻操作。
环境适配要求 Python 3.11~3.12（本次使用3.11版本），全程使用虚拟环境隔离依赖，不污染系统原生Python环境；支持CPU模式运行，无NVIDIA/AMD显卡也可正常部署使用，如果用户配置了NVIDIA驱动则该框架会自动识别无需手动配置。
1、执行官方一键安装脚本，自动完成Ollama安装、用户创建、系统服务配置。
root@localhost:~# curl -fsSL https://ollama.com/install.sh | sh
>>> Installing ollama to /usr/local
>>> Downloading ollama-linux-amd64.tar.zst
>>> Creating ollama user...
>>> Adding ollama user to render group...
>>> Adding ollama user to video group...
>>> Adding current user to ollama group...
>>> Creating ollama systemd service...
>>> Enabling and starting ollama service...
>>> The Ollama API is now available at 127.0.0.1:11434.
>>> Install complete. Run "ollama" from the command line.
WARNING: No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode
root@localhost:~#
root@localhost:~# systemctl start ollama
root@localhost:~# systemctl status ollama
● ollama.service - Ollama Service
Loaded: loaded (/etc/systemd/system/ollama.service; enabled; preset: enabled)
Active: active (running) since Sat 2026-09-05 08:41:57 CST; 1min 43s ago
Invocation: 716248d942fd46c0a50a02b03bdce7fb
Main PID: 2160 (ollama)
Tasks: 7 (limit: 608)
Memory: 75.4M (peak: 83.9M)
CPU: 364ms
CGroup: /system.slice/ollama.service
└─2160 /usr/local/bin/ollama serve
2、Ollama支持一键拉取各类开源模型，本次选择轻量化高性能的qwen3.5:0.8b模型，体积仅1.0GB，适配本地CPU部署，兼顾推理速度与对话效果。
root@localhost:~# ollama pull qwen3.5:0.8b
pulling manifest
pulling afb707b6b8fa: 100% ▕██████████████ ▏ 1.0 GB/1.0 GB 7.7 MB/s 0s
verifying sha256 digest
writing manifest
success
root@localhost:~# ollama list
NAME ID SIZE MODIFIED
qwen3.5:0.8b f3817196d142 1.0 GB About a minute ago
3、Open-WebUI对Python版本有严格要求，仅支持3.11-3.12版本，为避免与系统Python冲突，采用独立虚拟环境安装部署。
root@localhost:~# apt update
root@localhost:~# apt install software-properties-common -y
root@localhost:~# add-apt-repository ppa:deadsnakes/ppa -y
root@localhost:~# apt update
# 安装Python环境
root@localhost:~# apt install python3.11 python3.11-venv python3.11-dev -y
# 创建隔离环境
root@localhost:~# python3.11 -m venv ~/env/openwebui
# 激活虚拟环境
root@localhost:~# source ~/env/openwebui/bin/activate
# 指定临时目录到硬盘 不要用内存安装PIP包
root@localhost:~# export TMPDIR=/root/env/openwebui
root@localhost:~# export TEMP=/root/env/openwebui
root@localhost:~# export TMP=/root/env/openwebui
# 开始安装
root@localhost:~# pip install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple open-webui
(openwebui) root@localhost:~# pip list
Package Version
---------------------------------------- -----------
accelerate 1.13.0
aiocache 0.12.3
aiodns 3.6.1
aiofiles 25.1.0
aiohappyeyeballs 2.7.1
aiohttp 3.13.5
aiosignal 1.4.0
aiosqlite 0.22.1
alembic 1.18.4
annotated-doc 0.0.5
annotated-types 0.8.0
anthropic 0.86.0
antlr4-python3-runtime 4.9.3
anyio 4.15.0
APScheduler 3.11.2
argon2-cffi 25.1.0
argon2-cffi-bindings 26.1.0
asgiref 3.11.1
async-timeout 5.0.1
attrs 26.1.0
Authlib 1.7.2
av 18.1.0
azure-ai-documentintelligence 1.0.2
azure-core 1.41.0
azure-identity 1.25.3
azure-storage-blob 12.29.0
bcrypt 5.0.0
beautifulsoup4 4.14.3
bidict 0.24.1
black 26.5.1
boto3 1.42.62
botocore 1.42.97
brotli 1.2.0
brotlicffi 1.2.0.1
build 1.6.0
certifi 2026.7.22
cffi 2.1.1
chardet 7.4.3
charset-normalizer 3.5.1
chromadb 1.5.9
click 8.5.0
cloudpickle 3.1.2
colorlog 6.12.0
cryptography 48.0.0
ctranslate2 4.8.2
cuda-bindings 13.3.1
cuda-pathfinder 1.8.1
cuda-toolkit 13.0.3.0
ddgs 9.14.4
defusedxml 0.7.1
distro 1.9.0
docstring_parser 0.18.0
docx2txt 0.9
durationpy 0.11
einops 0.8.2
et_xmlfile 2.0.0
Events 0.5
fake-useragent 2.2.0
fastapi 0.136.3
faster-whisper 1.2.1
filelock 3.32.5
flatbuffers 25.12.19
fonttools 4.64.0
fpdf2 2.8.7
frozenlist 1.8.0
fsspec 2026.7.0
ftfy 6.3.1
google-api-core 2.34.0
google-api-python-client 2.197.0
google-auth 2.57.0
google-auth-httplib2 0.4.0
google-auth-oauthlib 1.4.0
google-cloud-core 2.7.0
google-cloud-storage 3.9.0
google-crc32c 1.8.0
google-genai 1.66.0
google-resumable-media 2.10.2
googleapis-common-protos 1.75.0
greenlet 3.5.5
grpcio 1.83.1
h11 0.16.0
h2 4.4.1
hf-xet 1.6.0
hiredis 3.4.0
hpack 4.2.0
httpcore 1.0.9
httpcore2 2.12.0
httplib2 0.32.0
httptools 0.8.0
httpx 0.28.1
httpx-sse 0.4.3
httpx2 2.12.0
huggingface_hub 1.30.0
hyperframe 6.1.0
idna 3.19
importlib_resources 7.1.0
isodate 0.7.2
itsdangerous 2.2.0
Jinja2 3.1.6
jiter 0.16.0
jmespath 1.1.0
joblib 1.6.0
joserfc 1.7.4
jsonpatch 1.33
jsonpointer 3.1.1
jsonschema 4.26.0
jsonschema-specifications 2025.9.1
kubernetes 36.0.3
langchain 1.2.10
langchain-classic 1.0.7
langchain-community 0.4.2
langchain-core 1.6.1
langchain-protocol 0.0.19
langchain-text-splitters 1.1.2
langgraph 1.0.10
langgraph-checkpoint 4.2.0
langgraph-prebuilt 1.0.13
langgraph-sdk 0.3.15
langsmith 0.12.1
ldap3 2.9.1
loguru 0.7.3
lxml 6.1.1
Mako 1.4.1
Markdown 3.10.2
markdown-it-py 4.2.0
MarkupSafe 3.0.3
mcp 1.27.2
mdurl 0.1.2
mmh3 5.3.0
mpmath 1.3.0
msal 1.38.0
msal-extensions 1.3.1
msoffcrypto-tool 6.0.0
multidict 6.7.1
mypy_extensions 1.1.0
narwhals 2.25.0
networkx 3.6.1
nltk 3.9.4
numpy 2.4.6
nvidia-cublas 13.1.1.3
nvidia-cuda-cupti 13.0.85
nvidia-cuda-nvrtc 13.0.88
nvidia-cuda-runtime 13.0.96
nvidia-cudnn-cu13 9.24.0.43
nvidia-cufft 12.0.0.61
nvidia-cufile 1.15.1.6
nvidia-curand 10.4.0.35
nvidia-cusolver 12.0.4.66
nvidia-cusparse 12.6.3.3
nvidia-cusparselt-cu13 0.8.1
nvidia-nccl-cu13 2.30.7
nvidia-nvjitlink 13.3.33
nvidia-nvshmem-cu13 3.4.5
nvidia-nvtx 13.0.85
oauthlib 3.3.1
olefile 0.47
omegaconf 2.3.1
onnxruntime 1.26.0
open-webui 0.11.3
openai 2.29.0
opencv-python 5.0.0.93
opencv-python-headless 4.13.0.92
openpyxl 3.1.5
opensearch-protobufs 1.2.0
opensearch-py 3.2.0
opentelemetry-api 1.44.0
opentelemetry-exporter-otlp-proto-common 1.44.0
opentelemetry-exporter-otlp-proto-grpc 1.44.0
opentelemetry-proto 1.44.0
opentelemetry-sdk 1.44.0
opentelemetry-semantic-conventions 0.65b0
orjson 3.11.9
ormsgpack 1.12.2
overrides 7.7.0
packaging 26.3
pandas 3.0.3
pathspec 1.1.1
pillow 12.2.0
pip 24.0
platformdirs 4.11.7
primp 2.0.0
propcache 0.5.2
proto-plus 1.28.4
protobuf 7.36.1
psutil 7.2.2
psycopg 3.3.4
psycopg-binary 3.3.4
pyarrow 20.0.0
pyasn1 0.6.4
pyasn1_modules 0.4.2
pybase64 1.5.0
pycares 4.11.0
pyclipper 1.4.0
pycparser 3.0
pycrdt 0.13.1
pydantic 2.13.4
pydantic_core 2.46.4
pydantic-settings 2.15.0
pydub 0.25.1
Pygments 2.21.0
PyJWT 2.13.0
pymdown-extensions 10.21.3
PyMySQL 1.2.0
pypandoc 1.17
pyparsing 3.3.2
pypdf 6.7.5
PyPika 0.51.1
pyproject_hooks 1.2.0
python-dateutil 2.9.0.post0
python-docx 1.2.0
python-dotenv 1.2.3
python-engineio 4.14.0
python-mimeparse 2.0.0
python-multipart 0.0.32
python-pptx 1.0.2
python-socketio 5.16.2
pytokens 0.4.1
pytube 15.0.0
pytz 2026.2
pyxlsb 1.0.10
PyYAML 6.0.3
rank-bm25 0.2.2
rapidocr 3.9.2
redis 8.0.1
referencing 0.37.0
regex 2026.5.9
requests 2.34.2
requests-oauthlib 2.0.0
requests-toolbelt 1.0.0
RestrictedPython 8.2
rich 13.9.4
rpds-py 2026.6.3
s3transfer 0.16.1
safetensors 0.8.0
scikit-learn 1.9.0
scipy 1.17.1
sentence-transformers 5.5.1
sentencepiece 0.2.1
setuptools 79.0.1
shapely 2.1.2
shellingham 1.5.4
simple-websocket 1.1.0
six 1.17.0
sniffio 1.3.1
socksio 1.0.0
soundfile 0.13.1
soupsieve 2.9.2
SQLAlchemy 2.0.50
sse-starlette 3.4.10
starlette 1.6.0
starlette-compress 1.7.1
starsessions 2.2.1
sympy 1.14.0
tenacity 9.1.4
threadpoolctl 3.6.0
tiktoken 0.13.0
tokenizers 0.22.2
torch 2.14.0
tqdm 4.70.0
transformers 5.5.4
triton 3.8.0
truststore 0.10.4
typer 0.27.2
typing_extensions 4.16.0
typing-inspection 0.4.4
tzlocal 5.4.4
uritemplate 4.2.0
urllib3 2.7.0
uuid_utils 0.17.0
uvicorn 0.51.0
uvloop 0.22.1
validators 0.35.0
watchfiles 1.2.0
wcwidth 0.8.3
websocket-client 1.9.2
websockets 16.1.1
wsproto 1.3.2
xlrd 2.0.2
xlsxwriter 3.2.9
xxhash 4.0.1
yarl 1.24.5
youtube-transcript-api 1.2.4
zstandard 0.25.0
# 清理旧缓存
root@localhost:~# pip cache purge
# 设置离线环境 避免Open-WebUI启动时自动进行模型下载
root@localhost:~# export HF_HUB_OFFLINE=1
root@localhost:~# export OFFLINE_MODE=true
# 启动页面
root@localhost:~# open-webui serve
4、为解决终端关闭后网页服务中断问题，配置系统常驻服务，实现开机自启、异常自动重启。
root@localhost:~# cat > /etc/systemd/system/open-webui.service <<'EOF'
[Unit]
Description=Open‑WebUI Service
After=network.target ollama.service
[Service]
Type=simple
User=root
ExecStart=/root/env/openwebui/bin/open-webui serve --port 3080
Restart=on-failure
RestartSec=5
Environment="OLLAMA_BASE_URL=http://127.0.0.1:11434"
Environment="HF_HUB_OFFLINE=1"
Environment="OFFLINE_MODE=true"
[Install]
WantedBy=multi-user.target
EOF
5、重载服务并设置开机自启。
root@localhost:~# systemctl daemon-reload
root@localhost:~# systemctl enable --now open-webui
root@localhost:~# systemctl status open-webui
root@localhost:~# systemctl status open-webui
● open-webui.service - Open‑WebUI Service
Loaded: loaded (/etc/systemd/system/open-webui.service; enabled; preset: enabled)
Active: active (running) since Sat 2026-09-05 09:28:33 CST; 6s ago
Invocation: 02b730a8ce8a47ab9017b87183ecf815
Main PID: 1870 (open-webui)
Tasks: 2 (limit: 608)
Memory: 315M (peak: 315M)
CPU: 4.055s
CGroup: /system.slice/open-webui.service
服务部署完成后，直接通过服务器公网IP访问可视化页面：http://chat.lyshark.com:3080/
首次访问需设置管理员用户名和密码，完成初始化后，即可进入网页后台，选择本地部署的qwen3.5:0.8b模型，实现可视化AI对话、参数调节、模型管理等功能。
文章出处：https://www.cnblogs.com/LyShark/p/22851408
本博客所有文章除特别声明外，均采用 BY-NC-SA 许可协议。转载请注明出处！
本博客所有文章除特别声明外，均采用 BY-NC-SA 许可协议。转载请注明出处！
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