devorah-ai-2016/dama-aibrain
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Sep 24, 2026Architecture:Transformer Featherless Exclusive Cold
The dama-aibrain model by devorah-ai-2016 is a 2.6 billion parameter language model, fine-tuned and converted to GGUF format using Unsloth. It is designed for efficient deployment and usage, with an included Ollama Modelfile for easy integration. This model is optimized for general language tasks, leveraging its compact size and GGUF format for accessibility.
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Overview
The dama-aibrain model, developed by devorah-ai-2016, is a 2.6 billion parameter language model. It has been fine-tuned and converted into the GGUF format, a process facilitated by Unsloth, which also enabled 2x faster training. This model is designed for efficient deployment and use, particularly in environments supporting GGUF.
Key Capabilities
- Efficient Deployment: Provided in GGUF format, making it compatible with various inference engines like
llama-cliand Ollama. - Optimized Training: Benefited from Unsloth's optimizations, leading to faster fine-tuning.
- Ollama Integration: Includes a pre-configured Ollama Modelfile for straightforward setup and execution.
- Compact Size: At 2.6 billion parameters, it offers a balance between performance and resource efficiency.
Good for
- Developers seeking a lightweight yet capable language model for local inference.
- Applications requiring easy integration and deployment via Ollama.
- Projects where efficient resource utilization and faster training times are critical.