Gemma 2 9B
Overview
Overview
Gemma 2 9B IT is an instruction-tuned version of Google's Gemma 2 9B base model. It was trained on 8 trillion tokens of web data, code, and math content. The model features sliding window attention, logit soft-capping, and knowledge distillation techniques. It's optimized for dialogue applications through supervised fine-tuning, distillation, RLHF, and model merging using WARP.
Gemma 2 9B was released on June 27, 2024.
Performance
Timeline
ReleasedUnknown
Knowledge CutoffUnknown
Specifications
Parameters
9.2B
License
Gemma
Training Data
Unknown
Tags
tuning:instruct
Benchmarks
Benchmarks
Gemma 2 9B Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
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Pricing
Pricing
Pricing, performance, and capabilities for Gemma 2 9B across different providers:
No pricing information available for this model.
API Access
API Access Coming Soon
API access for Gemma 2 9B will be available soon through our gateway.
Recent Posts
Recent Reviews
FAQ
Common questions about Gemma 2 9B
Gemma 2 9B was released on June 27, 2024 by Google.
Gemma 2 9B was created by Google.
Gemma 2 9B has 9.2 billion parameters.
Gemma 2 9B is released under the Gemma license.