FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
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Updated
Nov 7, 2026 - Python
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Run GLM-5.3-Flash (321B), DeepSeek-V4.1-Flash (748B) and MiniMax-M3.1-Flash (428B) on your own GPUs - one engine, one dashboard, OpenAI- and Anthropic-compatible API.
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
macOS menubar app for fast local DeepSeek V4.1, with 1M context.
Lightweight open-source AI Agent optimized for Chinese users | Native support for domestic large-model coding plans | Compatible with the OpenClaw Skills ecosystem | Integrated with WeChat ClawBot, Weibo Lobster, Feishu, DingTalk, QQ, Xiaozhi AI, Telegram and dsh.
Xolotl: run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 110 GB RAM): ~33 tok/s on agent tasks, ~41 in fast mode, 512K context. Plus GLM-5.3-Flash, Qwen3.8 and LFM3-Omni. MoE experts tiered across VRAM, pinned RAM and NVMe, with Xolotl Direct NVMe->VRAM. OpenAI + Anthropic API.
Fixes missing reasoning_content for DeepSeek V4
Go SDK for DeepSeek V4 API — chat, reasoning, Anthropic-compatible endpoint, tool calling, FIM, and streaming. Also supports OpenRouter, Azure, Ollama, and OpenAI-compatible providers.
Reverse engineered Deepseek chat into an OpenAI compatible API. Access V4 and R1 models through a simple REST interface without API keys or billing.
Codex 风格的推理等级滑条(DeepSeek Harness 插件):可拖动连续滑条 + 高档位渐变星尘特效
基于 FastAPI 的 DeepSeek Chat 反向代理,将 DeepSeek 网页版的 API 转换为 OpenAI 兼容格式。 支持流式/非流式对话、专家模式、深度思考(reasoning_content)、工具调用(DSML prompt injection)。 自动处理 PoW 鉴权挑战,无需官方 API Key。
Carbon Code 是一款类似 Claude Code 的代码开发工具,也是中国第一个基于 DeepSeek 的代码开发工具,Token 成本节省 90% 以上。它可以实现自动任务拆分、自动开发、MCP 测试,以及与 Claude、Codex 等多 Agent 协作,能力接近 Claude Sonnet 4.6
🐋 Полный гайд на русском: как установить и запустить DeepSeek локально (V4, R1) на ПК, Mac и сервере — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, агенты, fine-tuning, лучшие фишки
Fix and diagnose DeepSeek Harness on native Windows. Official PowerShell, Workspace Write, shortcuts, and legacy preset repair. No WSL.
PROMETHEVS: run the full DeepSeek-V4.1-Flash-1017 (510 GB) on a gaming PC with 64 GB RAM and a 12 GB GPU. PROMETHEVS engine (compress-then-correct), OpenAI-compatible local server, report and logs.
🚀 DeepSeek-V4 逆向API (1M上下文)。逆向不稳定,官方API价格极低且更稳定,建议优先走官方:https://platform.deepseek.com/ | DeepSeek-V4 Reverse API. Official API is cheaper & more stable, highly recommended.
MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.3, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.8, Qwen3-Omni, Gemma4, ...).
AI 驱动的电商全流程自动化系统。选品、上架、客服、运营分析、货源筛选,基于 DeepSeek V4 + Ollama 混合模型路由,自驱型 ReAct Agent 框架
Reproducible refusal-subspace editing and TP=2 deployment of DeepSeek V4 Flash 0731 on two DGX Sparks
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