pshun/dama-aibrain
The pshun/dama-aibrain is a 5.1 billion parameter instruction-tuned language model developed by pshun, finetuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It features a 32768 token context length, making it suitable for tasks requiring extensive contextual understanding.
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Model Overview
The pshun/dama-aibrain is a 5.1 billion parameter language model developed by pshun. It is an instruction-tuned variant, building upon the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit base model.
Key Training Details
This model distinguishes itself through its optimized training process:
- Accelerated Training: It was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL (Transformer Reinforcement Learning) library. Unsloth is known for its efficiency in fine-tuning large language models.
- Base Model: The fine-tuning process started from the
unsloth/gemma-4-e2b-it-unsloth-bnb-4bitmodel, indicating a foundation in the Gemma architecture.
Potential Use Cases
Given its instruction-tuned nature and efficient training, this model is likely suitable for:
- General instruction following tasks.
- Applications where faster fine-tuning cycles are beneficial.
- Scenarios requiring a balance of performance and computational efficiency for a 5.1B parameter model.