dennyjo/dama-aibrain
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The dennyjo/dama-aibrain is a 5.1 billion parameter language model, finetuned by dennyjo from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging the Gemma architecture for efficient performance.
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Model Overview
The dennyjo/dama-aibrain is a 5.1 billion parameter language model, finetuned by dennyjo. It is based on the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model and features a context length of 32768 tokens. This model was developed with a focus on efficient training, utilizing the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process.
Key Capabilities
- Efficiently Trained: Benefits from Unsloth's optimizations for faster training.
- Gemma Architecture: Leverages the robust Gemma base model for general language understanding and generation.
- Extended Context: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs and generating coherent, extended outputs.
Good For
- Applications requiring a capable language model with a focus on efficient development and deployment.
- Tasks that benefit from a large context window, such as summarization of long documents or complex conversational AI.
- Developers looking for a Gemma-based model that has undergone optimized finetuning.