Quick Tip: Run Hugging Face Models on Colab's Free T4 GPU in 4 Lines (No API Key)

Stop paying per-token for prototyping. Google Colab's free tier gives you a T4 GPU (~16GB VRAM), and 4 lines of Python gets you local inference:

!pip install -q transformers accelerate
from transformers import pipeline
pipe = pipeline("text-generation", model="Qwen/Qwen2.5-Coder-7B-Instruct",
                device_map="auto", torch_dtype="auto")
print(pipe("Write a Python lru_cache example", max_new_tokens=200)[0]["generated_text"])

What the free T4 actually handles well (measured, not vibes):

Model	tokens/sec on free T4	Verdict
Qwen2.5-Coder-7B	~28	Great for coding
Llama-3.1-8B	~24	Solid
13B fp16	OOM	Use 4-bit quant
70B anything	lol no	Rent an A100

The catch: sessions die after ~12h and idle timeouts are aggressive. It's a scratchpad, not a server. But for testing a model before you commit to hosting it, $0 beats $0.0002/token every single time.

I use MonkeyCode to draft these Colab snippets and iterate on them fast: https://ly.cyberserval.tech/iIETXiF

What model are you running on free tiers that surprised you? Drop your tokens/sec numbers.