Topic
Trending qwen repos
Repos whose maintainers tagged them qwen on GitHub (topics are labels that describe what a project is about), ranked by stars gained.
15 repos gained about 9.9k stars in the last 7 days. Leading this week: diegosouzapw/OmniRoute, FlashML-org/FreeToken and ollama/ollama.
15 repos tracked · ranked by stars gained · updated hourly
Related topics:deepseekllmopenaiai-agentsclaude-codeaiclaudepythonanthropicgeminillms
* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.
- 1diegosouzapw/OmniRoute
Never stop coding. Free MIT AI gateway: one endpoint, 359 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax… Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingTypeScript★ 76k
+314*
stars today
- 2FlashML-org/FreeToken
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 14k
+170*
stars today
- 3ollama/ollama
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingGo★ 183k
+152*
stars today
- 4decolua/9router
Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback… Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingJavaScript★ 31k
+109*
stars today
- 5jnMetaCode/agency-agents-zh
277 个即插即用的 AI 专家角色 — 支持 Claude Code/Cursor/Copilot 等 20 种工具,覆盖工程/设计/营销/金融等 20 个部门。含 64 个中国市场原创智能体(小红书/抖音/微信/飞书/钉钉/Qt 上位机/机械设计)。搭配编排器… Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingShell★ 21k
+96*
stars today
- 6StayLameBro/backburner
Your iPhone helps your Mac run a 27B model: faster prompt reading and more context over a USB-C cable. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 999
+83*
stars today
- 7unslothai/unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 78k
+74*
stars today
- 8vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 94k
+70*
stars today
- 9hiyouga/LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 75k
+61*
stars today
- 10QwenLM/qwen-code
An open-source AI coding agent that lives in your terminal. Why it matters: relevant if AI is part of your coding workflow.
Coding agentsTypeScript★ 28k
+60*
stars today
- 11huggingface/transformers
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both… Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 168k
+58*
stars today
- 12openinterpreter/openinterpreter
A coding agent for open models like Kimi K3 and GLM 5.3. Why it matters: relevant if AI is part of your coding workflow.
Coding agentsRust★ 69k
+58*
stars today
- 13dyad-sh/dyad
Local, open-source AI app builder for power users v0 / Lovable / Replit / Bolt alternative Star if you like it! Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingTypeScript★ 22k
+40*
stars today
- 14sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models. Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 37k
+37*
stars today
- 15syv-ai/HyperQwen
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer… Why it matters: useful plumbing for shipping LLM-powered features.
LLM toolingPython★ 2k
+33*
stars today