aarifO1/atc
The aarifO1/atc model is a 12 billion parameter instruction-tuned causal language model developed by aarifO1. It is finetuned from unsloth/gemma-3-12b-it-unsloth-bnb-4bit and features a 32768 token context length. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for tasks requiring efficient processing and generation based on its instruction-tuned nature.
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Overview
aarifO1/atc is a 12 billion parameter instruction-tuned language model, developed by aarifO1. It is finetuned from the unsloth/gemma-3-12b-it-unsloth-bnb-4bit base model and supports a context length of 32768 tokens. A key characteristic of this model is its training methodology, which leveraged Unsloth and Huggingface's TRL library to achieve a 2x speedup in the finetuning process.
Key Capabilities
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or prompts effectively.
- Efficient Training: Benefits from the Unsloth framework, which facilitates faster finetuning compared to traditional methods.
- Large Context Window: Features a substantial 32768 token context length, allowing it to process and generate longer sequences of text.
Good For
- Applications requiring a 12B parameter model with strong instruction-following capabilities.
- Scenarios where efficient finetuning is a priority, given its optimized training process.
- Tasks that benefit from a large context window for comprehensive understanding and generation.