kyoungsim/dama-aibrain
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The kyoungsim/dama-aibrain is a 5.1 billion parameter instruction-tuned causal language model, finetuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. Developed by kyoungsim, this model was trained using Unsloth and Huggingface's TRL library, enabling faster training. With a context length of 32768 tokens, it is designed for general language understanding and generation tasks.
Loading preview...
Model Overview
The kyoungsim/dama-aibrain is a 5.1 billion parameter instruction-tuned language model, developed by kyoungsim. It is finetuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit base model, indicating its foundation in the Gemma architecture.
Key Capabilities
- Efficient Training: This model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library, highlighting an optimized training process.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or prompts effectively.
- Large Context Window: It supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Good For
- General Language Tasks: Suitable for a wide range of applications requiring text generation, comprehension, and instruction following.
- Developers interested in Unsloth: Provides an example of a model trained with Unsloth for accelerated finetuning.