FreeToken

FreeToken is an edge-native Mixture-of-Experts serving engine that runs frontier-scale open-weight models on consumer hardware.

FreeToken is an inference platform designed for executing large Mixture-of-Experts models on personal computers. It unifies GPUs, CPUs, and system memory to handle frontier-scale models without requiring datacenter infrastructure. The system uses a bandwidth-adaptive CPU-GPU co-execution policy and global LRU expert caching to maintain performance. Users can perform agentic context edits with semantic-aware caching, which reuses recurrent states for tool calls and thinking blocks. It supports various quantization formats like MXFP4, NVFP4, and FP8, and offers an API compatible with Anthropic and OpenAI standards. The engine is intended for developers working with coding agents and local AI workflows.

FreeToken at a glance

Best for: Software engineer, Researcher
Runs on: Windows, Linux, CLI
Pricing: Free
Released: July 2026
Category: AI coding tool
Website: github.com/FlashML-org/FreeToken

Key features

Bandwidth-adaptive CPU-GPU co-execution policy
Global LRU expert caching
Dynamic VRAM re-allocation during runtime
Semantic anchor checkpoints for KV caches
Support for MXFP4, NVFP4, FP8, and BF16 quantization
Anthropic and OpenAI-compatible API endpoints
FTW fast weight format execution

Use it for

Running frontier-scale MoE models on consumer hardware
Integrating local models with coding and tool-calling agents
Optimizing inference for agentic context edits
Managing expert and KV memory without engine restarts

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