AETRON LLM Background Pattern
[AETRON LLM]

The language model of the AETRON network

A large language model that runs on top of AETRON. Every answer can be re-checked cryptographically. The Pre-Alpha is already live on mainnet.

Coming soon

Model parameters

Coming up
70B+parameters
Model size
128Ktokens
Context window
50+supported
Languages

Core capabilities

In development

Multimodal understanding

Working with text, images and documents in one context

  • Understanding of long text
  • Image analysis and recognition
  • Pulling data out of documents
  • Tying different input types into one request

Working with code

Writing, reviewing and debugging code in different languages

  • Support for the popular programming languages
  • Optimisation suggestions
  • Spotting and fixing errors
  • Hints about project architecture

Research

Help with sources, data and academic writing

  • Searching and matching sources
  • Working with data and visualisations
  • Pointers on methodology
  • Structuring an academic paper

Text and content

Drafting and editing text in different genres

  • Preparing and reworking content
  • Fiction and scriptwriting
  • Marketing copy
  • Keeping a single tone and style

Benchmarks

Target scores
TestScoreWhat it measures
MMLU
87.3%
Language understanding across a wide range of subjects
HumanEval
82.1%
Writing Python code
GSM8K
91.7%
Grade-school math problems
HellaSwag
89.2%
Common-sense reasoning

What the AETRON network adds

Our vision

Distributed inference

The model runs across thousands of GPUs in the participant network - not tied to a single data center. This removes the capital barrier and eliminates the single point of failure.

Verifiable privacy

Sensitive workloads can use the optional Confidential Computing mode with TEE attestation. The customer gets a guarantee that the data didn't leak, without trusting the operator.

A path to self-improving AI

AETRON is architecturally ready for a scenario where AI agents run their own research and train new models. Every step of that process is recorded on-chain and can be re-checked.

Free access to inference

At the protocol level no one pays for requests. Miners earn through AET emission, the end user gets the model for free.

Where it fits

Use cases

Development

  • Code review and optimisation
  • API documentation
  • Drafting test scenarios
  • Architecture sketches

Business analytics

  • Working with reports and data
  • A round-up of relevant research
  • Help with making decisions
  • Risk assessment

Content and communications

  • Technical documentation
  • Marketing copy
  • Emails and newsletters
  • Blog material and SEO

Integration via API

Developer tooling

REST API

Plain HTTP endpoints for integration with existing applications

COMING SOON

WebSocket streaming

Streaming responses for chats and interactive interfaces

COMING SOON

SDK

Client libraries for the popular languages, with error handling and retries built in

COMING SOON
CTA Background Pattern

Get early access

AETRON LLM is in Pre-Alpha and live on mainnet. Sign up to get priority access and updates on what comes next.