mnibjm/damaai
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 6, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
mnibjm/damaai is a 5.1 billion parameter language model, finetuned by mnibjm from unsloth/gemma-4-E2B-it-unsloth-bnb-4bit. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is suitable for general language generation tasks where efficient training and a 32768 token context length are beneficial.
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Overview
mnibjm/damaai is a 5.1 billion parameter language model developed by mnibjm. It is a finetuned version of the unsloth/gemma-4-E2B-it-unsloth-bnb-4bit model, leveraging the Unsloth library for accelerated training. This model benefits from a 32768 token context length, making it suitable for tasks requiring extensive contextual understanding.
Key Capabilities
- Efficient Training: Finetuned with Unsloth, resulting in 2x faster training compared to standard methods.
- Extended Context: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
- Gemma-4 Base: Built upon the Gemma-4 architecture, providing a strong foundation for various language understanding and generation tasks.
Good for
- Applications requiring a model with a substantial context window.
- Developers looking for a model that has undergone efficient finetuning.
- General text generation, summarization, and question-answering tasks where the Gemma-4 base model's capabilities are desired.