SuiLabs/PRTS-Gemma-4-E2B
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 27, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
SuiLabs/PRTS-Gemma-4-E2B is a 5.1 billion parameter Gemma-4 model developed by SuiLabs, fine-tuned from unsloth/gemma-4-e2b-it. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It offers a 32768 token context length, making it suitable for applications requiring extensive context processing.
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SuiLabs/PRTS-Gemma-4-E2B Overview
SuiLabs/PRTS-Gemma-4-E2B is a 5.1 billion parameter language model, fine-tuned by SuiLabs from the unsloth/gemma-4-e2b-it base model. This model leverages the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerated its fine-tuning process, achieving a 2x speed improvement.
Key Characteristics
- Architecture: Based on the Gemma-4 family.
- Parameter Count: 5.1 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for tasks requiring long-range dependencies or extensive input.
- Training Efficiency: Fine-tuned with Unsloth, known for optimizing training speed and resource utilization.
Good For
- Applications that benefit from the Gemma-4 architecture.
- Tasks requiring a large context window, such as summarization of long documents, complex question answering, or detailed content generation.
- Developers looking for a model fine-tuned with efficient methods, potentially indicating a well-optimized and performant model for its size class.