Activefastllm Open Source

Gemma 2

by Google· Released June 2024· Cutoff June 2024

Gemma 2 is a family of lightweight, state-of-the-art open models from Google, available in 2B, 9B, and 27B parameter sizes. It builds on the original Gemma with significant performance improvements, including better reasoning, coding, and safety benchmarks. Gemma 2 is designed for developers and researchers who need efficient, high-quality language models for a wide range of tasks.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

8192 tokens

Max output

8192 tokens

Modalities

text

Parameters

2B, 9B, 27B

License

Gemma License

Capabilities

Text GenerationCode GenerationReasoningInstruction FollowingSafety & ResponsibilityEfficient Inference

Best For

Developers and researchers needing a high-performance, open-source language model for fine-tuning, deployment, and research.

Strengths

Strong performance for its size, rivaling larger models
Open-source with permissive license (Gemma license)
Efficient inference, suitable for edge and on-device deployment
Good safety and responsibility benchmarks

Limitations

Smaller context window (8K tokens) compared to some frontier models
No native multimodal capabilities (text-only)
Not as capable as larger frontier models like Gemini on complex tasks
Limited to English language primarily

Use Cases

Chatbots and conversational AI

Code generation and assistance

Text summarization and rewriting

Educational tools and tutoring

Research in NLP and model compression

On-device AI applications

Fine-tuning for domain-specific tasks

Improvements Over Previous Model

Improved performance on reasoning and coding benchmarks compared to Gemma 1
New 27B parameter size for higher capability
Enhanced safety and responsibility with new techniques
Better efficiency and lower latency for inference
Updated training data and methodology

Back to all models

Activefastllm Open Source

Gemma 2

by Google· Released June 2024· Cutoff June 2024

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

8192 tokens

Max output

8192 tokens

Modalities

text

Parameters

2B, 9B, 27B

License

Gemma License

Capabilities

Text GenerationCode GenerationReasoningInstruction FollowingSafety & ResponsibilityEfficient Inference

Best For

Developers and researchers needing a high-performance, open-source language model for fine-tuning, deployment, and research.

Strengths

Strong performance for its size, rivaling larger models
Open-source with permissive license (Gemma license)
Efficient inference, suitable for edge and on-device deployment
Good safety and responsibility benchmarks

Limitations

Smaller context window (8K tokens) compared to some frontier models
No native multimodal capabilities (text-only)
Not as capable as larger frontier models like Gemini on complex tasks
Limited to English language primarily

Use Cases

Chatbots and conversational AI

Code generation and assistance

Text summarization and rewriting

Educational tools and tutoring

Research in NLP and model compression

On-device AI applications

Fine-tuning for domain-specific tasks

Improvements Over Previous Model

Improved performance on reasoning and coding benchmarks compared to Gemma 1
New 27B parameter size for higher capability
Enhanced safety and responsibility with new techniques
Better efficiency and lower latency for inference
Updated training data and methodology

Back to all models