Локальные LLM
code-context-engine
Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
★ 425 звёздMIT
Смотреть руководство →Qwen3-Coder — проект с открытым исходным кодом из категории «Локальные LLM» от QwenLM (QwenLM/Qwen3-Coder на GitHub). У него 16 838 звёзд на GitHub и 1 256 форков, он распространяется по лицензии NOASSERTION и последний раз обновлялся на GitHub 24 марта 2026.
Qwen3-Coder - Alibaba's open code model series for agentic coding, up to 1M tokens of context
Choose a Qwen3-Coder size that fits your GPU, or use it through an agent tool or hosted API.
Clone this repo for docs and examples, and download the weights from the linked model pages.
Load tokenizer and model with the README's quick-start pattern and apply the chat template.
Generate a completion, try fill-in-the-middle, or point an agent platform at the model.
Designed for agentic coding, agentic browser use and foundational coding tasks, with results the README compares to Claude Sonnet among open models.
Supports platforms such as Qwen Code, Cline and Claude Code, with a specially designed function-call format.
Native 256K token context, extendable up to 1M tokens with YaRN - sized for repository-scale understanding.
Supports FIM completion for IDE-style code infilling, shown in the quick start.
Uses the apply_chat_template flow with ChatML, consistent with earlier Qwen releases.
The README demonstrates full tasks - releasing a website, building a parkour game, sound ASCII art and more.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/QwenLM/Qwen3-Coder.git
cd Qwen3-CoderThe README quick start loads the tokenizer and model, formats messages with the chat template and generates.
# Follow the Quick Start code in the README (load model, apply_chat_template, generate)Configure Qwen3-Coder as the model in Qwen Code, Cline or Claude Code per the README's platform notes.
# Point your agent platform at the Qwen3-Coder endpoint or local server - see READMEIt is maintained by Alibaba's Qwen team (QwenLM) on GitHub.
The repository content is freely available; the model weights carry the license stated on their model cards - check there before commercial use, as the README text itself does not state one.
No API key is needed to run the weights locally. Hosted endpoints and agent platforms you use it through have their own accounts and pricing.
Compared with general Qwen3 models, Qwen3-Coder is specialized for code and agentic tool use; compared with proprietary coding models, it is open and self-hostable with very long context.
Clone the repo, read the Quick Start, download a checkpoint, and run the chat-template example - or select it inside Qwen Code or Cline.
Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
DeepSeek-Coder-V2 — DeepSeek's open code model family that challenged closed-source code models.
Strata — one-click Qwen3.8-Flash-Next inference on consumer hardware: chat, code and images, locally, no account, MIT
StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.
Local code-intelligence MCP server and CLI for coding agents.
Local codebase intelligence CLI and MCP for coding agents.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Qwen3-Coder вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к Qwen3-Coder — продолжайте изучать полку по обе стороны от него.
High-performance In-browser LLM Inference Engine
Alibaba's lightweight, blazing-fast inference engine for on-device LLMs and edge AI.
A fast LLM inference server for Apple Silicon, managed from the macOS menu bar
A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Open bilingual (Chinese-English) 6B chat LLM with 32K-context variant and low-memory INT4 inference.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.