39 lines
1.6 KiB
Markdown
39 lines
1.6 KiB
Markdown
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# FreeToken
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A local, MoE-offload inference runtime with an OpenAI- and Anthropic-compatible
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HTTP API — Run DeepSeek-V4-Flash on your 5090 with 20+ TPS.
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[](https://join.slack.com/t/flashml/shared_invite/zt-3zpdh5j10-9dwTXrgLiqpVxizhA9KVbA)
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[](https://discord.gg/xzwSnMdsX)
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## Quick start
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See [docs/install.md](docs/install.md) for requirements and installation.
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```bash
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ft serve --model ~/models/Qwen3.6-35B-A3B # API server on http://127.0.0.1:1919
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ft launch claude # point an agent at it (codex / opencode / openclaw)
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ft shell # or chat in the terminal
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```
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## Documentation
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- [Install](docs/install.md) — requirements and setup
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- [Supported models](docs/models.md) — model × quantization
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- [CLI reference](docs/cli.md) — `ft` commands and environment variables
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## Acknowledgment
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FreeToken was deeply inspired by [mini-sglang](https://github.com/sgl-project/mini-sglang), and
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learned the design and reused code from the following projects:
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[SGLang](https://github.com/sgl-project/sglang),
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[vLLM](https://github.com/vllm-project/vllm),
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[FlashInfer](https://github.com/flashinfer-ai/flashinfer),
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[flash-linear-attention](https://github.com/fla-org/flash-linear-attention),
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[LightLLM](https://github.com/ModelTC/lightllm) and [llama.cpp](https://github.com/ggml-org/llama.cpp).
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## License
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[Apache License 2.0](LICENSE).
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