--- title: Gemma 3 270M It — Efficient LLM | ModelsLab description: Run Gemma 3 270M It model via API for task-specific fine-tuning and on-device inference. Try compact 270M LLM for classification and extraction now. url: https://modelslab.com/gemma-3-270m-it canonical: https://modelslab.com/gemma-3-270m-it type: website component: Seo/ModelPage generated_at: 2026-04-15T02:01:39.877364Z --- Available now on ModelsLab · Language Model Gemma 3 270M It Compact Powerhouse LLM --- [Try Gemma 3 270M It](/models/together_ai/google-gemma-3-270m-it) [API Documentation](https://docs.modelslab.com) Fine-Tune Fast. Deploy Anywhere. --- 270M Parameters ### Hyper-Efficient Architecture 170M embeddings support 256k vocabulary for rare tokens and multilingual tasks. On-Device Ready ### Extreme Energy Efficiency INT4 quantized model uses 0.75% battery for 25 conversations on Pixel 9. Instruction Tuned ### Task-Specific Fine-Tuning Strong base for classification, extraction, and intent routing with 32k context. Examples See what Gemma 3 270M It can create --- Copy any prompt below and try it yourself in the [playground](/models/together_ai/google-gemma-3-270m-it). Code Review “Review this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)” Text Classification “Classify this email as spam, urgent, or normal: Subject: Urgent invoice payment needed. Body: Pay now or account suspended.” Entity Extraction “Extract all organizations, people, and locations from: Apple Inc. CEO Tim Cook announced new HQ in Cupertino, California.” JSON Structuring “Convert this text to JSON: Product: Laptop, Price: 999, Features: 16GB RAM, 512GB SSD, Intel i7.” For Developers A few lines of code. Inference. Three lines. --- ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed. - **Serverless:** scales to zero, scales to millions - **Pay per token,** no minimums - **Python and JavaScript SDKs,** plus REST API [API Documentation ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

``` FAQ Common questions about Gemma 3 270M It --- [Read the docs ](https://docs.modelslab.com) ### What is Gemma 3 270M It? ### How does Gemma 3 270M It API work? ### Is Gemma 3 270M It good for mobile? ### Gemma 3 270M It model specs? ### Best Gemma 3 270M It alternative? ### Gemma 3 270M It LLM for fine-tuning? Ready to create? --- Start generating with Gemma 3 270M It on ModelsLab. [Try Gemma 3 270M It](/models/together_ai/google-gemma-3-270m-it) [API Documentation](https://docs.modelslab.com) --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-15*