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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:
- Fast Edge-Native Runtime: Provides efficient MoE serving with bandwidth-adaptive CPU–GPU co-execution ( q ⋆ policy), full-layer double-buffered prefill streaming, global LRU expert caching, graph-compatible execution, and the FTW fast weight format.
- Semantic-Aware Caching: Features semantic anchor checkpoints for recurrent state and KV caches, allowing agentic context edits (e.g., tool calls, thinking blocks) to avoid redundant context recomputation.
- Elastic Memory Management: Supports dynamic, runtime VRAM re-allocation between expert caches and KV memory without engine restarts or weight reloading.
- Broad MoE & Ecosystem Support: Supports frontier open-weight MoE models (e.g., DeepSeek-V4-Flash, Qwen3.6-35B-A3B, GLM-5.2) across various parameter scales and quantization formats (e.g., MXFP4, NVFP4, FP8, BF16), with Anthropic/OpenAI-compatible APIs for seamless integration with real-world coding and tool-calling agents (e.g., Codex, Claude Code, OpenCode, OpenClaw, DeepSeek Harness).
- Diverse Consumer Hardware: Scales across consumer laptops, gaming desktops, and workstation GPUs, with native support for NVIDIA RTX 30, RTX 40, and RTX 50 series GPUs.
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Last modified 27 October 2026