Meta models in Australia
Meta's Llama family brought capable open-weight language models to a wide audience, with sizes ranging from small models that run on a laptop to large multimodal models for servers. Llama weights are published under Meta's own community licence, which permits commercial use subject to conditions, rather than a standard open source licence.
In 2026 Meta Superintelligence Labs introduced the Muse family, which now powers the Meta AI assistant across Meta's apps and is offered to developers through Meta's own model API. Licensing differs between Muse releases, so check each one before building on it, and expect Meta's model line-up to keep changing.
For Australian businesses, Llama's main appeal is control. Because the weights can be downloaded, Llama can run entirely on servers in Australia with no third-party model provider in the data path, and it can be fine-tuned on proprietary data without that data leaving your environment.
Last reviewed October 2026
Strengths
- +Weights can be downloaded and run on infrastructure you control
- +Large ecosystem of fine-tunes, quantised versions and tooling
- +Range of sizes, from on-device models to large multimodal models
- +Supported by self-hosting tools such as Ollama, LM Studio and vLLM
Limitations
- –The Llama community licence has conditions and is not an OSI-approved open source licence
- –Amazon Bedrock does not offer Llama in its Australian regions, and Azure and Google Cloud host it on global endpoints
- –Self-hosting larger Llama models requires significant GPU capacity and operational skill
- –Meta's newest flagship assistant models are moving to the Muse family, so Llama's future roadmap is less certain
Ways to access these models
Self-hosted
Download Llama weights and run them on Australian servers or private cloud GPUs.
Microsoft Foundry
Llama models as serverless Global Standard deployments, or on your own managed compute.
Amazon Bedrock
Several Llama models in US and other regions, but not Sydney or Melbourne.
Google Cloud Gemini Enterprise Agent Platform
Llama as managed open models, not listed for processing in Australia.
Meta AI and the Meta Model API
Meta's own assistant and developer API, now centred on the Muse family.
Keeping data in Australia
The reliable way to keep Llama processing in Australia is to self-host it: run the weights on GPU servers in an Australian data centre, or on virtual machines you control in AWS Sydney or Melbourne, Azure Australia East or Google Cloud Sydney. Managed serverless Llama is harder to keep onshore. Amazon Bedrock's model cards do not list Llama in Sydney or Melbourne, Microsoft Foundry offers serverless Llama only as Global Standard deployments, and Google Cloud does not list its managed Llama models for Australian processing. Confirm by checking each platform's regional availability for the exact Llama model, and if you self-host, document where weights, logs and backups are stored.
For workloads where data must stay onshore end to end, see private AI hosted in Australia.
Best for
- →Organisations that want full control by self-hosting in Australia
- →Fine-tuning a model on proprietary data
- →Offline, air-gapped or edge deployments
- →Prototyping locally before choosing a production model
Tools built on Meta models
Llama (Meta)
FreeOpen Model
Meta's family of open-weight large language models, released in sizes from small models that run on a laptop to large multimodal models for servers. Businesses download the weights to self-host, fine-tune for their own tasks, or use managed versions on major cloud platforms.
Best for: Organisations wanting a private chatbot on their own infrastructure
Llama review →Ollama
Free plan + paidDev Tools
An open-source tool for downloading and running open-weight language models on a Mac, Windows or Linux machine, or on your own server. It provides a simple command line, a desktop app and a local API, plus optional paid cloud models for larger workloads.
Best for: Developers prototyping with open models on their own machines
Ollama review →LM Studio
FreeDev Tools
A desktop app for Mac, Windows and Linux that lets you discover, download and chat with open-weight models offline. It includes document chat, a local server with OpenAI-compatible endpoints for developers, and support for MCP tools, all through a graphical interface.
Best for: Non-technical staff who want private AI on their laptop
LM Studio review →Hugging Face
Free plan + paidAI Community
An open platform for sharing and running AI models, datasets and demo apps, used to find, test and deploy open-source models. Teams can browse model cards, run models through hosted inference, and pull weights into their own infrastructure.
Best for: Machine learning engineers evaluating and fine-tuning open models
Hugging Face review →
Frequently asked questions
Is Llama free to use commercially in Australia?
Generally yes, under Meta's community licence, which allows commercial use but includes conditions such as an acceptable use policy and extra terms for very large services. Read the licence for the specific Llama release, because terms have varied between generations.
Can I use Llama on Amazon Bedrock in Sydney?
Not as of late 2026. Amazon Bedrock's model cards list Llama models in other regions but not Sydney or Melbourne. If you need onshore processing on AWS, run Llama yourself on EC2 or SageMaker in an Australian region, or choose a model Bedrock offers in-region, such as Mistral or Qwen.
What hardware do I need to self-host Llama?
Small Llama models run on a modern laptop or a single GPU, especially when quantised. Large models need multiple data centre GPUs with substantial memory. Start with the smallest model that meets your quality bar, and test with tools such as Ollama or LM Studio before planning production infrastructure.
What is Meta's Muse family?
Muse is a newer family of models from Meta Superintelligence Labs that now powers Meta AI across Meta's apps. Some Muse models are proprietary and offered through Meta's API, while licensing for others differs, so check the terms for each release.
Building on Meta models?
AI Lab Australia designs and builds AI systems on the right model and hosting route for your privacy and quality requirements.