arkoda/arkoda-7b-v7-2
The arkoda/arkoda-7b-v7-2 is a 7.6 billion parameter Qwen2-based causal language model developed by arkoda. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Qwen2.5 architecture and efficient finetuning process.
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Model Overview
The arkoda/arkoda-7b-v7-2 is a 7.6 billion parameter instruction-tuned language model developed by arkoda. It is based on the Qwen2.5 architecture, specifically finetuned from the unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit model. A key characteristic of this model's development is its efficient training process, which was achieved using Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during finetuning.
Key Capabilities
- Instruction Following: Designed to accurately respond to a wide range of user instructions.
- Efficient Finetuning: Benefits from a finetuning process optimized for speed and resource utilization.
- Qwen2.5 Architecture: Leverages the robust capabilities of the Qwen2.5 base model.
Good For
- Applications requiring a capable 7B parameter model for general instruction-following.
- Developers looking for models built with efficient finetuning techniques.
- Tasks where the Qwen2.5 architecture has demonstrated strong performance.