Gemma 2 9B IT (Together)
Gemma 2 9B IT is Google DeepMind's instruction-tuned variant of the Gemma 2 9B model, available through Together AI's inference platform. The Gemma 2 architecture introduced significant improvements over the original Gemma series, including better training data quality, grouped-query attention, and logit soft-capping — resulting in notably stronger reasoning and coherence at the 9B scale.
Hosted on Together AI, this model offers reliable low-cost inference for general-purpose text tasks: summarization, Q&A, classification, and conversational assistance. Its open-weight nature and commercial-friendly license make it a popular foundation for fine-tuning experiments and production deployments where transparency matters.
Key Features
Improved reasoning and coherence over prior Gemma generations at 9B scale
Solid instruction following across summarization, QA, and structured output tasks
Grouped-query attention enabling efficient inference at competitive cost
Open weights with a commercially permissive license for fine-tuning
Strong multilingual capabilities for European and major Asian languages
Suitable for RAG pipelines as both generator and ranking component
Ideal Use Cases
Production chatbots and virtual assistants on a budget
Document summarization and structured information extraction
Fine-tuning base for domain-specific enterprise applications
Classification and sentiment analysis at high throughput
Retrieval-augmented generation answer synthesis
Example Prompts for Gemma 2 9B IT (Together)
Technical Specifications
| Provider | Together |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 8192 tokens |
Frequently Asked Questions
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