LlamaGPT Hosting Live In 5 Minutes

Deploy LlamaGPT hosting and give yourself a self-hosted offline AI chatbot on your own domain. xCloud runs the pinned LlamaGPT 1.0.1 images with a Llama 2 7B model already bundled, keeps the model server on a private network, puts a sign-in prompt with a generated password in front of the site and publishes it over HTTPS. It runs on CPU only, so expect answers to take seconds, not instants.

Deploy your LlamaGPT

No terminal
No technical skills needed
No lock-in, cancel anytime

What is LlamaGPT?

Self-hosted LlamaGPT is a ChatGPT-like chatbot powered by Llama 2, described in its README as offline, self-hosted and private, with no data leaving your device. It ships a chat interface and a model server, runs a 7B model on CPU by default, and is aimed at people who want a chatbot without sending prompts to a hosted AI service. The code is MIT licensed, while the model weights carry their own licence terms.

On xCloud the template runs the ghcr.io/getumbrel llama-gpt-api and llama-gpt-ui 1.0.1 images, pinned by immutable digest, with the model baked in and no persistent volume. HTTPS is published on your domain behind one shared sign-in prompt. There is no GPU support, no per-user accounts, and chat history stays in each visitor's browser.

From Sign-Up to a Live Chatbot In Just 3 Easy Steps

A self-hosted Llama 2 chatbot normally means pulling a multi-gigabyte model, wiring a chat interface to a model server, adding authentication, a domain and a certificate. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick LlamaGPT from the OneClick catalog. Choose your domain, then set a username and password for the sign-in prompt — a strong password is generated by default.
Step 02
We Deploy It For You
One click. We bring up the pinned LlamaGPT images: the llama-gpt-api model server with the Llama 2 7B model baked in, the llama-gpt-ui chat interface, and a gateway that asks for your username and password. Only the gateway is published, over HTTPS on your domain; the model server and interface stay on the private network. Allow roughly 5 minutes for the first start while the model loads.
Step 03
Send Your First Prompt
Open your HTTPS LlamaGPT URL, sign in with the saved credentials when the browser asks, then type a prompt in the chat box. Expect a few seconds for a short answer — generation runs on the server CPU.

Everything LlamaGPT Does, On Your Own Server

LlamaGPT runs in full here: a ChatGPT-style interface in front of a Llama 2 7B model on your own server, behind a sign-in prompt.

A ChatGPT-Style Interface
Chat with the model in a familiar conversation layout, with your conversations kept in your browser.
Llama 2 7B Bundled
The model ships inside the image, so there is no separate download step and no API key to obtain.
Runs On Your CPU
Generation is CPU-only — about 6 tokens per second measured on a 6-core server. A GPU is not used.
Private By Design
Prompts and answers are processed on your server, and the template makes no calls to third-party AI APIs.
Sign-In In Front Of Everything
HTTP Basic authentication guards the whole site, so others cannot use your server CPU; requests without valid credentials get a 401.
An OpenAI-Compatible Model Server
The llama-gpt-api service is an OpenAI-compatible server (llama.cpp), reachable only on the install's private network.

Everything You Need To Run Your Private Chatbot 24/7

Managed hosting for LlamaGPT, so the parts that keep it online are not your problem.

LlamaGPT 1.0.1 deployed instantly
Official images pinned by digest
Sign-in password generated for you
Model server kept off the public internet
Free SSL certificate
Server backups and snapshots
Server security updates included
Choose your server region
Unused balance refunded

What You Can Do With LlamaGPT

Chat without a third-party AI service
Prompts and answers are processed on your own server, and the template makes no calls to outside AI APIs.
Give a small team a shared chatbot
Share one sign-in with people you trust so they can use the model, keeping in mind that it uses your server's CPU.
Try a local model before committing
Run a bundled Llama 2 7B model on a Cloud VPS to see what CPU-only local inference is like for your prompts.
Keep conversations out of the server
Chat history lives in each visitor's browser, so nothing is stored in a database on the server.

LlamaGPT Screenshots

LlamaGPT chat interface with a prompt typed into the message box

LlamaGPT chat interface showing the model's reply to a prompt

LlamaGPT vs Alternatives

ChatGPT: ChatGPT is the hosted chatbot LlamaGPT's README compares itself to. As a llamagpt alternative to chatgpt for private use, LlamaGPT runs a Llama 2 model on your server, with no claim of matching its quality or speed.
Ollama: Ollama is a self-hosted runtime for open-source language models with its own xCloud template. In a llamagpt vs ollama choice, LlamaGPT bundles one model and a chat interface, while Ollama runs models you choose.
LocalAI: LocalAI is a self-hosted, OpenAI-compatible inference server with its own xCloud template. Compare its API focus with LlamaGPT's ready-made chat page.
LibreChat: LibreChat is a self-hosted chat interface for many model providers, with its own xCloud template. It connects to models rather than bundling one.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for LlamaGPT hosting. Pick the one that fits, and resize any time.

Cloud VPS 16 GB

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy LlamaGPT on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

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The same platform, discounted at 11+ servers.

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Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Self-managed hosting

Ready To Run Your Own Private Chatbot?

LlamaGPT on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

Hear what people are saying about us

See why agencies, developers, startups, and growing businesses choose xCloud to power their projects.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

How much RAM does LlamaGPT need?

The manifest asks for 4 CPU cores, 8192 MB of RAM and 12 GB of disk. QA measured about 294 MiB idle and about 880 MiB after a chat, plus the memory-mapped model, a working set near 5 GB. This page sells the 16 GB tier.

Is LlamaGPT free and open source?

The LlamaGPT code is MIT licensed, per the LICENSE file at the 1.0.1 tag. The bundled Llama 2 weights are under the Llama 2 community licence and the model's own terms, so read those before using it commercially. xCloud bills only for the Cloud VPS.

Can you run LlamaGPT with Docker?

Yes, and this is LlamaGPT Docker hosting prepared for you: the template runs the official llama-gpt-api and llama-gpt-ui 1.0.1 images, pinned by immutable digest, behind a sign-in gateway and HTTPS, so it works as LlamaGPT cloud hosting on your own VPS.

What is the difference between LlamaGPT and Ollama?

LlamaGPT bundles one Llama 2 7B model with a ready chat page, while Ollama is a runtime that downloads and serves models you choose through an API. Ollama has its own xCloud page, so compare them against how much control you want.

Ollama hosting

How do I sign in to LlamaGPT?

The browser asks for the username and password from the installation credentials. LlamaGPT has no accounts of its own; this prompt guards the whole site, and requests without or with wrong credentials are rejected. Anyone holding the login can use your server's CPU.

Is my data sent to OpenAI by LlamaGPT?

No. The model runs on your server and the template makes no calls to third-party AI APIs. The OPENAI_API_KEY value in the environment is only a placeholder the interface requires. Prompts are processed on the server, so protect access to it.

How fast is LlamaGPT on a server CPU?

CPU-only: about 6 tokens per second measured on a 6-core server, with no GPU used. A short answer takes a few seconds and a long one can take a minute or more. More and faster cores help, and quality is not comparable to large hosted models.

Why does LlamaGPT not respond right after a restart?

On every start the model loads into memory, which takes up to about five minutes, and longer on slower CPUs. Until then the page may not respond, so give it time before restarting anything. The first start also compiles the inference engine.

Where are my LlamaGPT chats stored?

In your browser's local storage, not on the server, so they are not shared across browsers or devices and clearing site data removes them. Export anything you want to keep, and do not expect a team-wide history from this template.

What should I back up on a LlamaGPT server?

Nothing on the server: it has no persistent volume, the model ships in the image, and chat history lives in each visitor's browser. Keep a private copy of your sign-in credentials and any environment settings you changed.

Backups in xCloud

How do I upgrade LlamaGPT?

Nothing upgrades it for you: the install stays on pinned release 1.0.1 until you adopt a newer template version. Read the upstream release notes first, then wait for the model to load and send one test prompt afterwards.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.