ETTORESDS/dama-aibrain
ETTORESDS/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 ETTORESDS, this model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It features a 32768-token context length, making it suitable for tasks requiring extensive contextual understanding.
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Model Overview
ETTORESDS/dama-aibrain is a 5.1 billion parameter instruction-tuned language model, developed by ETTORESDS. It is finetuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit base model, leveraging the Unsloth library for accelerated training, which reportedly made the training process 2x faster. The model also utilized Huggingface's TRL library during its development.
Key Characteristics
- Parameter Count: 5.1 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Benefits from Unsloth's optimizations for faster training.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its instruction-tuned nature and significant context length, ETTORESDS/dama-aibrain is well-suited for applications requiring:
- Complex Instruction Following: Handling detailed and multi-turn instructions.
- Long-form Content Generation: Generating or summarizing extensive texts where a large context window is beneficial.
- Conversational AI: Maintaining coherence over long dialogues due to its extended context capabilities.