arkoda/arkoda-7b-v7-14
The arkoda/arkoda-7b-v7-14 is a 7.6 billion parameter Qwen2-based causal language model developed by arkoda. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for efficient deployment and performance, leveraging its Qwen2 architecture for general language tasks.
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arkoda/arkoda-7b-v7-14 Model Summary
This model, developed by arkoda, is a 7.6 billion parameter language model based on the Qwen2 architecture. It has been fine-tuned from unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Efficient Training: The model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library.
- Base Model: Built upon the robust Qwen2.5-7B-Instruct foundation, providing strong general language understanding and generation capabilities.
- License: Released under the Apache-2.0 license, allowing for broad use and distribution.
Use Cases
This model is suitable for applications requiring a capable 7B-class language model, particularly where efficient fine-tuning and deployment are priorities. Its Qwen2 base makes it versatile for various instruction-following and text generation tasks.