yildirim34/birag-gemma4-26b
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:2Model Size:26BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 1, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The yildirim34/birag-gemma4-26b is a 26 billion parameter language model developed by yildirim34, fine-tuned from unsloth/gemma-4-26b-a4b-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation and understanding tasks, leveraging its 32768 token context length for comprehensive processing.
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Overview
yildirim34/birag-gemma4-26b is a 26 billion parameter language model, fine-tuned by yildirim34 from the unsloth/gemma-4-26b-a4b-it base model. This model benefits from an optimized training process, having been trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library. It operates under an Apache-2.0 license.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning.
- Large Parameter Count: With 26 billion parameters, it offers robust language understanding and generation capabilities.
- Extended Context Window: Supports a context length of 32768 tokens, enabling processing of longer inputs and maintaining coherence over extended conversations or documents.
Good for
- Applications requiring a powerful, general-purpose language model.
- Scenarios where efficient fine-tuning is a priority.
- Tasks benefiting from a large context window for complex information processing.