Skip to main content

FreeToken

Edge-native MoE serving engine designed for running 290B+ frontier models locally on consumer GPUs and CPUs

View on GitHub Official site
Llm Inference Apache-2.0 Medium setup 3,775 stars

Overview

Description

FreeToken lets you run massive 290B+ frontier MoE models locally on consumer PCs and gaming hardware. It pools your GPU, CPU, and host RAM into an elastic inference platform with bandwidth-adaptive execution and smart KV caching — cutting the hardware barrier for frontier-scale open AI.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

Yes

REST API

Yes

Fine-tuning support

No

Quantization support

Yes

Docker available

Yes

GUI / no-code available

No

Telemetry

None

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

None

Last verified: Aug 24, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

Deploying FreeToken in production?

Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for FreeToken.

Request Privacy and Telemetry Audit

Setup & Installation

Medium

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/FlashML-org/FreeToken

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA), GPU (AMD), GPU (Apple Silicon)
LanguagesPython, C++

Works Well With