Gemma 3 27B Instruct API & Playground

What is Gemma 3 27B Instruct and who developed it?

Gemma 3 27B Instruct is an instruction-tuned, open-weight model developed by Google DeepMind. It is part of the Gemma 3 family and was released in 2025 as a lightweight, high-performance alternative to Gemini. This model supports text generation and is optimized for multi-turn dialogue, summarization, and reasoning tasks.

What applications and use cases does Gemma 3 27B Instruct excel at?

The model is designed for:

•Chatbots and conversational AI
•Code generation and reasoning (HumanEval: 48.8)
•Document and image summarization (text only on Fireworks)
•Question answering (MMLU: 78.6, GSM8K: 82.6)
•Multilingual tasks in over 140 languages

What is the maximum context length for Gemma 3 27B Instruct?

The model supports a maximum context length of 131.1k tokens.

What is the usable context window for Gemma 3 27B Instruct?

Gemma 3 models perform reliably across long inputs, but no specific usable token window is provided. Performance may vary near the 131k token upper bound.

What are known failure modes of Gemma 3 27B Instruct?

Limitations and risks include:

•Limited spatial and common-sense reasoning
•Occasional factual errors or outdated knowledge
•May reflect bias from training data despite filtering
•English-only evaluation for ethics and safety benchmarks

Does Gemma 3 27B Instruct support function-calling schemas?

No, function calling is not supported for this model.

How many parameters does Gemma 3 27B Instruct have?

The model has 28.4 billion parameters (not a MoE architecture).

Is fine-tuning supported for Gemma 3 27B Instruct?

Yes, Fireworks supports LoRA fine-tuning, serverless LoRA, and full fine-tuning for Gemma 3 27B Instruct.

What rate limits apply on the shared endpoint?

On-demand deployment is supported with no rate limits.

What license governs commercial use of Gemma 3 27B Instruct?

Gemma 3 27B Instruct is governed by the Gemma license, which permits commercial use.

Fine-tuning Docs	Gemma 3 27B Instruct can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
On-demand Deployment Docs	On-demand deployments allow you to use Gemma 3 27B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Gemma 3 27B Instruct

Gemma 3 27B Instruct API Features

Fine-tuning

On-demand Deployment

Gemma 3 27B Instruct FAQs

Metadata

Specification

Supported Functionality