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Shuo Yang@Andy_ShuoYang · Aug 21, 2026

Your gaming PC can now serve frontier models at interactive speed using official checkpoints without extreme…

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Summary

FreeToken enables running large frontier AI models on consumer GPUs through optimizations like bandwidth-adaptive CPU-GPU execution and semantic caching, achieving 3-4x faster decode speeds than Ollama. The tool offers a native GUI for easy installation on Windows/Linux and can run models like Qwen3.6 35B on an 8GB RTX 4060 at 39 tokens/second.

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  1. #1

    Your gaming PC can now serve frontier models at interactive speed using official checkpoints without extreme quantization! Qwen3.6 35B → 8GB RTX 4060 laptop @ 39 tok/s DeepSeek-V4-Flash 284B → RTX 5090 desktop @ 22-25 tok/s GLM-5.2 753B → RTX PRO 6000 workstation @ 15 tok/s Run your claude code or codex now with frontier model for $0 Meet FreeToken 🧵

  2. #2

    FreeToken is fast. Comparing to Ollama, we have 3–4× faster decode, and 6–30× faster prefill How? We introduce bandwidth-adaptive CPU–GPU execution + semantic-aware caching across agent turns. More details in the technical report: arxiv.org/abs/2608.16157

  3. #3

    FreeToken provides native GUI. No GGUF conversion. No building from source. One-click install on Windows and Linux. FreeToken-desktop ships with agent harnesses built in — pick a model, pick an app, go.

  4. #4

    Download: flashml.ai Code: github.com/FlashML-org/Fr… Reply with your GPU + RAM, and I'll tell you the biggest frontier model your machine can run 👇