AI Code Assistant
Top-ranked Apache 2.0 open-weight coding LLM family (1.5B–32B) rivaling proprietary frontier models on code generation and repair.
Qwen 2.5 Coder (0.5B, 1.5B, 3B, 7B, 14B, and flagship 32B-Instruct) is pretrained on 5.5 trillion code and technical tokens across 90+ programming languages with full 128K repository context and Apache 2.0 licensing on key commercial tiers.
qwen2.5-coder:32b in GGUF Q4_K_M (~22.6 GB) via Ollama or LM Studio for private, zero-per-token coding agents in Cline, Roo Code, and Continue.qwen2.5-coder:7b or 14b for instant local FIM tab-autocomplete.| Nombre de la herramienta | Qwen 2.5 Coder |
|---|---|
| Categoría | AI Code Assistant |
| Modelo de precios | Free Open Source (Apache 2.0) |
| Etiqueta temática | Qwen 2.5 Coder, Local Coding AI, Apache 2.0, Ollama |
Señales de tráfico, clasificación y participación de esta herramienta.
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For 8GB–12GB GPUs (RTX 3060 / 4060), Qwen 2.5 Coder 7B or 14B in GGUF Q4_K_M delivers instant FIM autocomplete and chat (~6–11 GB VRAM). For 24GB GPUs (RTX 3090/4090) or 32GB+ Macs, Qwen 2.5 Coder 32B (~22.6 GB at 8K ctx) rivals GPT-4o on LiveCodeBench and Aider benchmarks.
Extending KV cache from 8K to 32K tokens on the 32B model adds ~3.8 GB of VRAM overhead (pushing Q4_K_M from ~22.6 GB to ~26.4 GB). On a single 24GB GPU, enable Q8_0 KV cache quantization in Ollama/llama.cpp to fit full 32K repo context cleanly.
Yes! Every Qwen 2.5 Coder checkpoint from 0.5B, 1.5B, 7B, 14B up to 32B (except 3B) is Apache 2.0 licensed, making it safe for air-gapped enterprise code review and private IDE copilots.
Qwen 2.5 Coder was trained on 5.5 trillion code-centric tokens spanning 92+ programming languages—excelling in Python, TypeScript, Rust, Go, C#, C++, SQL, Shell, and multi-file refactoring.
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