arkoda/arkoda-7b-v7-11
The arkoda/arkoda-7b-v7-11 is a 7.6 billion parameter Qwen2-based causal language model developed by arkoda, fine-tuned from unsloth/qwen2.5-7b-instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for efficient instruction-following tasks.
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Model Overview
The arkoda/arkoda-7b-v7-11 is a 7.6 billion parameter language model developed by arkoda. It is built upon the Qwen2 architecture and was fine-tuned from the unsloth/qwen2.5-7b-instruct-bnb-4bit base model. A key characteristic of this model's development is its training methodology, which leveraged Unsloth and Huggingface's TRL library to achieve a 2x speedup in the training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen2.5-7b-instruct-bnb-4bit(Qwen2 architecture). - Parameter Count: 7.6 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Utilizes Unsloth for accelerated training, resulting in 2x faster fine-tuning.
Use Cases
This model is suitable for applications requiring efficient instruction-following capabilities, benefiting from its Qwen2 foundation and optimized training. Its substantial context length makes it versatile for tasks involving longer inputs or requiring extensive conversational memory.