Explore Qwen2.5 Coder 7B Instruct locally
Qwen2.5 Coder 7B Instruct is an instruction-tuned, code-specific causal language model from the Qwen2.5-Coder series, released under the Apache 2.0 license in the Qwen/Qwen2.5-Coder-7B-Instruct repository. According to its official model card, the repository contains the instruction-tuned 7B variant with 7.61B parameters (6.53B non-embedding), 28 layers, GQA with 28 query and 4 KV attention heads, and a full context length of 131,072 tokens. The model card states improvements in code generation, code reasoning, and code fixing, as well as long-context support and general/mathematical capabilities. It is a causal language model built for text generation using Transformers, with safetensors and chat/code tags.
Before you begin
- Difficulty
- Research first
- Time required
- Not yet tested
- Software
- Check official model card
- Hardware
- Not yet tested
- Required VRAM
- Not yet tested
- Dependencies
- See official model card
The workflow
Read the publisher’s model card
Check the linked model card for its current license, files, required software, and official examples. Follow its instructions for your operating system.
Check your hardware before downloading
Use the YouRunAI model page to screen memory needs. Treat estimates as a first pass; confirm the published requirements and available quantization files.
Try a small official example
Use an example from the official model card to investigate Code generation. Start with a small input and confirm output quality and memory use before expanding the task.
The model behind this workflow
Qwen2.5 Coder · 7BKeep exploring
Your first local Qwen setup
Install Ollama, download Qwen3, and start a conversation on your own machine.
Build a local coding stack
Connect Qwen2.5 Coder to a local Ollama endpoint and your coding tools.
Make images with FLUX & ComfyUI
Follow the official node workflow for FLUX.1 schnell, with model placement and a first render.