minju2026/dama-aibrain

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026Architecture:Transformer Featherless Exclusive Cold

minju2026/dama-aibrain is a 5.1 billion parameter language model, finetuned and converted to GGUF format. This model was optimized for faster training using Unsloth. It is designed for general language tasks, with specific GGUF files available for text-only and multimodal applications.

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Overview

minju2026/dama-aibrain is a 5.1 billion parameter language model, provided in GGUF format. It was finetuned and converted using Unsloth, a platform known for accelerating model training. The model supports a context length of 32768 tokens.

Key Capabilities

  • GGUF Format: Optimized for efficient deployment and use with llama-cli and llama-mtmd-cli tools.
  • Faster Training: Benefits from Unsloth's optimizations, enabling 2x faster training compared to standard methods.
  • Multimodal Support: Includes a specific F16-mmproj.gguf file, indicating potential for multimodal applications alongside the text-only Q4_K_M.gguf variant.

Good For

  • Developers looking for a 5.1B parameter model in GGUF format for local inference.
  • Applications requiring a model that can be run efficiently with llama-cli tools.
  • Use cases that might benefit from both text-only and multimodal capabilities, depending on the chosen GGUF file.

Finetunes
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