FlashML-org/FreeToken
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Unlock datacenter-class intelligence on the hardware you already own — Run 290B+ frontier MoE models locally on your gaming PC at blistering interactive speeds. FreeToken is an edge-native Mixture-of-Experts (MoE) serving engine designed for running frontier-scale open-weight models on personal and consumer hardware. It treats heterogeneous edge resources—GPUs, CPUs, host memory, and interconnects—as a unified, elastic inference platform. Its core features include: Download FreeToken for Windows or Linux at flashml.ai. It sets the engine up for you and gives you a GUI for running models,…
Read the full README ↗ · Preview checked 2026-09-21T12:30:07.035Z
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What this repository does
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Repository facts
- Owner
- FlashML-org
- Primary language
- Python
- Stars
- 13,402
- Forks
- 1,323
- Open issues + pull requests
- 332
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-07-20T20:44:11.000Z
- Last push
- 2026-09-19T11:09:14.000Z
Topics and intended use
Owner-supplied topics: deepseek-v4, edge, glm, inference, minimax, moe, qwen, transformer
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Source and freshness
Source: GitHub. Metadata observed 2026-09-21T12:01:25.621Z. Daily imports are snapshots, not real-time monitoring.
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