FlashML-org/FreeToken
- Source
- GitHub
- First trending
- Category
- Model inference
- GitHub stars
- 12,985
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.
What it does
A serving engine for running large open-weight Mixture-of-Experts models on personal hardware by splitting work across GPUs, CPUs and memory. It exposes Anthropic- and OpenAI-compatible APIs so coding agents can connect.
How it helps ATF
Worth comparing as a local model server with a compatible API that the executors Harness hands work to, such as Claude Code or Codex, could call.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
More in this category
- sgl-project/sglang
A serving framework for large language models and multimodal models. It serves open models such as DeepSeek, Qwen, Llama and GLM, and also covers diffusion models for image and video generation. - cactus-compute/needle
Needle 2 is an open 45M-parameter model for tool calling, device use and structured extraction, packed into a single 14MB engine. The Python package covers inference, LoRA fine-tuning and export, returning JSON tool calls with a confidence score. - jingyaogong/minimind
An educational project that implements a small language model of about 64M parameters from scratch in native PyTorch. Its code covers the full training chain, such as pretraining, SFT, LoRA, RLHF, tool use and distillation. - unslothai/unsloth
Unsloth is a desktop app for running and training LLM, diffusion, embedding and audio models, including GGUF and MLX formats. Local models can also be used with Claude Code, Codex and MCP, together with web search and RAG. - experientiallabs/experiential
An open source gateway that puts hosted, BYOK and local models behind one OpenAI-compatible API. It sets per-user and per-agent model access and spending limits, and can turn production traffic into a custom router or model.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.