Files
freetoken/README.md
T

39 lines
1.6 KiB
Markdown
Raw Normal View History

2026-08-11 22:43:57 +00:00
# FreeToken
A local, MoE-offload inference runtime with an OpenAI- and Anthropic-compatible
HTTP API — Run DeepSeek-V4-Flash on your 5090 with 20+ TPS.
[![Slack](https://img.shields.io/badge/Slack-join%20the%20community-4A154B?logo=slack&logoColor=white)](https://join.slack.com/t/flashml/shared_invite/zt-3zpdh5j10-9dwTXrgLiqpVxizhA9KVbA)
[![Discord](https://img.shields.io/badge/Discord-join%20the%20community-5865F2?logo=discord&logoColor=white)](https://discord.gg/xzwSnMdsX)
## Quick start
See [docs/install.md](docs/install.md) for requirements and installation.
```bash
ft serve --model ~/models/Qwen3.6-35B-A3B # API server on http://127.0.0.1:1919
ft launch claude # point an agent at it (codex / opencode / openclaw)
ft shell # or chat in the terminal
```
## Documentation
- [Install](docs/install.md) — requirements and setup
- [Supported models](docs/models.md) — model × quantization
- [CLI reference](docs/cli.md) — `ft` commands and environment variables
## Acknowledgment
FreeToken was deeply inspired by [mini-sglang](https://github.com/sgl-project/mini-sglang), and
learned the design and reused code from the following projects:
[SGLang](https://github.com/sgl-project/sglang),
[vLLM](https://github.com/vllm-project/vllm),
[FlashInfer](https://github.com/flashinfer-ai/flashinfer),
[flash-linear-attention](https://github.com/fla-org/flash-linear-attention),
[LightLLM](https://github.com/ModelTC/lightllm) and [llama.cpp](https://github.com/ggml-org/llama.cpp).
## License
[Apache License 2.0](LICENSE).