Run Qwen3 Coder on Google Colab with Free GPU
Introduction: No Hardware? No Problem.
Want to explore Qwen3’s powerful coding abilities but don’t have a high-end GPU?
Use Google Colab to:
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Run Qwen3-Coder (7B/14B models)
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Access a GPU for free
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Try agentic coding workflows
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No installation required on your machine
This guide walks you through setting up Qwen3-Coder in Colab using Transformers + Hugging Face.
1. Open Google Colab
Go to https://colab.research.google.com
Click "New Notebook", then follow these steps.
2. Enable Free GPU Runtime
In the menu:Runtime
→ Change runtime type
→ Set GPU
(Usually a Tesla T4 or L4 on free tier)
3. Install Required Libraries
Run this in a code cell:
python!pip install transformers accelerate bitsandbytes -q
4. Load Qwen3-Coder Model
You can choose:
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Qwen/Qwen1.5-7B-Chat
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Qwen/Qwen1.5-14B-Chat
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Or any base/instruct variant
pythonfrom transformers import AutoTokenizer, AutoModelForCausalLM model_id = "Qwen/Qwen1.5-7B-Chat" tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained( model_id, device_map="auto", trust_remote_code=True, load_in_4bit=True )
5. Run a Coding Prompt
pythonprompt = ( "<|im_start|>system\nYou are a helpful Python coding assistant.<|im_end|>\n" "<|im_start|>user\nWrite a Python script that sorts a list of numbers using bubble sort.<|im_end|>\n" "<|im_start|>assistant\n" ) inputs = tokenizer(prompt, return_tensors="pt").to("cuda") outputs = model.generate(**inputs, max_new_tokens=300) print(tokenizer.decode(outputs[0]))
✅ You’ll get clean, agentic code output—similar to ChatGPT Code Interpreter.
6. Optional: Add Tool Use or Function Calling
Qwen3 models support:
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JSON output (with correct prompt formatting)
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Shell/REPL-style code generations
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Function-call-like formatting
pythonprompt = ( "<|im_start|>system\nOnly respond in JSON. No extra text.<|im_end|>\n" "<|im_start|>user\nReturn current datetime in Python code format.<|im_end|>\n" "<|im_start|>assistant\n" )
7. Notes on Colab Limitations
Limitation | Workaround |
---|---|
Timeout after 90 min | Save checkpoints to Google Drive |
RAM capped at ~12GB | Use Qwen3 7B model or 4-bit loading |
Storage is temporary | Push code to GitHub or Drive |
Want more power? Upgrade to Colab Pro or use HF Spaces with a GPU.
Conclusion: Qwen3-Coder Anywhere, Anytime
Even with just a browser:
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Run powerful LLM coding models
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Explore agentic instructions
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Use free GPU from Colab
Qwen3-Coder makes high-quality code generation open, fast, and cost-free.
Resources
Qwen3 Coder - Agentic Coding Adventure
Step into a new era of AI-powered development with Qwen3 Coder the world’s most agentic open-source coding model.