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Como Instalar Qualquer LLM Localmente: Uma Reflexão Sobre a Aplicação no Serviço Público
A recente popularização dos Modelos de Linguagem de Aprendizado de Máquina (LLM) tem levantado debates sobre como essas tecnologias podem ser integradas nas práticas do serviço público. A instalação de um LLM localmente, utilizando ferramentas como a Open WebUI do Ollama, é um passo que pode facilitar a adoção dessa inovação. Este processo, descrito como “SUPER EASY”, sugere que o acesso a essas ferramentas não é restrito apenas a especialistas da área, o que democratiza seu uso.
Implementando um LLM no contexto do serviço público, podemos melhorar a comunicação entre os cidadãos e as instituições. Imagine uma plataforma que possa responder automaticamente a dúvidas frequentes ou ajudar na triagem de atendimentos. Isso não só otimiza recursos, mas também potencializa a transparência e a eficiência dos serviços oferecidos.
Além disso, a reflexão sobre como utilizar LLMs deve incluir considerações sobre a ética no uso da tecnologia. É crucial que, ao instalar e implementar essas ferramentas, os servidores públicos avaliem não apenas a eficiência, mas também o impacto que isso terá na sociedade. Promover a educação e a capacitação dos servidores para o uso consciente da inteligência artificial pode elevar o padrão dos serviços prestados, garantindo que a tecnologia sirva ao bem comum.
Portanto, ao considerar a instalação de LLMs em nossa rotina, vale a pena pensar em como essas ferramentas podem ser aliadas na construção de um serviço público mais ágil e acessível, sem perder de vista a responsabilidade e a ética no seu uso.
Aprenda tudo sobre automações do n8n, typebot, google workspace, IA, chatGPT entre outras ferramentas indispensáeis no momento atual para aumentar a sua produtividade e eficiência.
Vamos juntos dominar o espaço dos novos profissionais do futuro!!!
#Install #LLM #Locally #Open #WebUI #Ollama #SUPER #EASY


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bravo
How do i download and install a model?
how do i set up con nection for ollama. there is no modules
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Why does mine OpenWebUI look anything like I see here? I did try follow along but I had very few of the alternatives I saw here.
how i import a model / download model because 7:05 it change in mi case ???? no case for putting a link like thi "os ollama run llama3.2-vision"
Thank you for this, but I don't see Prompts and Documents on the left Tab 😔 Not sure if I missed a step
Is it really locally? I installed it and it ask me to sign in to open WebUI, and when I disconnect from internet, it says I cannot use the interface, is there a way I could run it offline and without loging??
Thank you! I did this. One question, how do I update openweb ui?
Oh also how to put Claude in the openweb UI. The first two suggestions is what I need the most. 😅
Thank you so much. I did what you said and it works! I have a few questions. Can you make a video on how to be able to have an API key for our local llms, so we can put them into VR, games, apps and ect. I see where openweb UI has "generate secret API key" . Then can you also make a video on how to get ollama to run on your GPU instead of your CPU? Thanks. I would love it if you showed us all the awesome UI options on pinokio. Like the pros and cons. All I see is where you can download different ones. Ppl love details and to view it. Here is another vid idea for you. Do a video on AI town and other AI games on pinokio or using this set up that is in this video. Cool things this setup offers. I couldn't download docker on my computer then I found this video. It was what I needed. Ppl like me that is new to this, would love to see more content on the things I mentioned. 🌟
Please help, i already installed ollama, docker and then webui, and successfully run the localhost:3000 to run ollama via webui. but next day when i tried to access localhost:3000, it stop with error : localhost refused to connect, ERR_CONNECTION_REFUSED, what should i do?
chat records are saved permanently even if I stop local server when shut down my pc?
ENOENT: no such file or directory, stat 'C:pinokioapiopen-webui.git{{input.event[0]}}'
Thanks for the video, anyone can help with this problem on my second machine: "{"detail":"Not Found"}" on the Open WebUI window?
had to get like 10gb worth of useless junk, while installing a tiny Openwebui app. Why in the love of сunт, do I need visual studio build tools for it?
Why do I need all this freaking junk?
Installing collected packages: win-unicode-console, red-black-tree-mod, pyxlsb, pywin32, pytz, pyreadli
ne3, pypika, pydub, pyclipper, peewee, passlib, mpmath, monotonic, mmh3, flatbuffers, filetype, fake-us
eragent, ebcdic, easygui, docx2txt, compressed-rtf, zipp, XlsxWriter, xlrd, wrapt, websockets, websocke
t-client, validators, urllib3, uritemplate, ujson, tzdata, typing-extensions, tomli, threadpoolctl, ten
acity, tabulate, sympy, soupsieve, sniffio, six, shellingham, safetensors, regex, rapidfuzz, pyyaml, py
tube, python-multipart, python-magic, python-iso639, python-dotenv, pyproject_hooks, pyparsing, pypando
c, PyMySQL, PyJWT, pygments, pycparser, pyasn1, psycopg2-binary, psutil, protobuf, primp, pluggy, platf
ormdirs, Pillow, pathspec, packaging, overrides, orjson, ordered-set, opentelemetry-util-http, olefile,
oauthlib, numpy, networkx, nest-asyncio, mypy-extensions, multidict, mdurl, MarkupSafe, Markdown, lxml
, lark, jsonpointer, jsonpath-python, joblib, jmespath, jiter, itsdangerous, iniconfig, importlib-resou
rces, idna, humanfriendly, httptools, h11, grpcio, greenlet, fsspec, frozenlist, fonttools, filelock, e
xceptiongroup, et-xmlfile, dnspython, distro, defusedxml, colorclass, colorama, charset-normalizer, cha
rdet, certifi, cachetools, blinker, bidict, bcrypt, backoff, av, attrs, async-timeout, annotated-types,
aiohappyeyeballs, yarl, wsproto, Werkzeug, tzlocal, typing-inspect, tqdm, sqlalchemy, Shapely, scipy,
rsa, requests, redis, rank-bm25, python-pptx, python-dateutil, pytest, pypdf, pymongo, pydantic-core, p
yasn1-modules, proto-plus, opentelemetry-proto, openpyxl, opencv-python-headless, opencv-python, marshm
allow, markdown-it-py, Mako, langdetect, jsonpatch, jinja2, importlib-metadata, httplib2, httpcore, goo
gleapis-common-protos, fpdf2, emoji, email_validator, ecdsa, deprecated, deepdiff, ctranslate2, colored
logs, click, chroma-hnswlib, cffi, build, beautifulsoup4, asgiref, anyio, aiosignal, youtube-transcript
-api, watchfiles, uvicorn, torch, tiktoken, starlette, simple-websocket, scikit-learn, rich, requests-t
oolbelt, requests-oauthlib, python-jose, pytest-docker, pydantic, posthog, peewee-migrate, pandas, open
telemetry-exporter-otlp-proto-common, opentelemetry-api, onnxruntime, nltk, huggingface-hub, httpx, grp
cio-status, google-auth, Flask, duckduckgo-search, docker, dataclasses-json, cryptography, botocore, bl
ack, argon2-cffi-bindings, APScheduler, alembic, aiohttp, unstructured-client, typer, tokenizers, s3tra
nsfer, rapidocr-onnxruntime, python-engineio, opentelemetry-semantic-conventions, opentelemetry-instrum
entation, openai, msoffcrypto-tool, langsmith, langfuse, kubernetes, google-auth-httplib2, google-api-c
ore, Flask-Cors, authlib, argon2-cffi, unstructured, transformers, python-socketio, opentelemetry-sdk,
opentelemetry-instrumentation-asgi, langchain-core, google-api-python-client, faster-whisper, fastapi-c
li, boto3, anthropic, sentence-transformers, opentelemetry-instrumentation-fastapi, opentelemetry-expor
ter-otlp-proto-grpc, langchain-text-splitters, google-ai-generativelanguage, fastapi, langchain, google
How do you actually configure the "group based" workflow? AS you said towards the end you basically can create a workspace for multiple people to have access. Is this locally? Is this via VPN, Internet? If my friend in a different city wants to work with me o na project how can that be done?
Can this work with document importing? And adding data to models like langchain? Sorry im noob trying to learn how to import and data sets.
hi i have small question. can we integrate this ia with some websites to take daily recent information that published daily?
Different version maybe now, my interface looks different and does not connect to my already running ollama.. no longer super easy.. see if I can figure out what changed.. followed the open webui directions, but not working yet.
Will not run on my apple silicon, cleared cache, gave it full disk access in security, and still get this error "ENOENT: no such file or directory, stat '/Users/keith/pinokio/api/open-webui.git/{{input.event[0]}" any help would be great
what happens if you have some of these files already installed? like ptorch etc.
I keep getting the error "Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack" How do I fix?
Local and secure, yet you have to sign in to Open WebUI to run it? Is this not suspicious?
i want to kiss the brain of whoever made pinokio
Im new to all of this. Can i use this to setup Ai Town? The other method was a little complex for me
Suppose im a civil engineer..Can i train it with my some books pdf?
Awesome ! Best video .. thanks man
Great guide thanks
Is there a way to just set it up on a website. Say you have your own full running webserver can you just install it that way without any 3rd party apps. For example just like running ollama locally but have it on a website?
Love it man. Subscribed for more!
Thanks for the video. Am I missing something? I can access the UI if I do localhost:8000. On the PC it is running on. On that same PC I can't access it if I type my actual IP with port. I thought maybe I needed to open port 8000 on my PC and that didn't help. Trying to access this from different computers in my house. I have tried accessing it from http://192.168.1.45:8000 and nothing is coming up. Any help would be greatly appreciated. I am sure I am missing something simple
Grok?..i downloaded it,…. can this use GROK LLM ?
Thank you so much!
Dummy proof thank god
Cursor: Build Software with The AI-first Code Editor with a CoPilot! Better Than VS Code!: https://youtu.be/KR2AppWKHFU
Well damn.
Is it posible to use OpenWebUI with llama.cpp? cause i am working on RAG.
is it fast. i have rtx 2080 can it work
You just dropped some gold by simply letting us know about pinokio, let alone the gem that is WebUI. Damn!
This is superb!! Thanks for sharing and explain things throughout. Looking forward to the benefits of it.
Thanks
Please show the possible approach on Android devices that have high capacity of high amount of RAM. There are one or two apps that promise this and they're pretty complex configuration. If you can kindly approach the platform, I will be extremely grateful.
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