arkoda/arkoda-7b-v7-10
arkoda/arkoda-7b-v7-10 is a 7.6 billion parameter Qwen2-based causal language model developed by arkoda. This instruction-tuned model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general-purpose language generation tasks, leveraging its Qwen2 architecture for robust performance.
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Model Overview
arkoda/arkoda-7b-v7-10 is a 7.6 billion parameter instruction-tuned language model built upon the Qwen2 architecture. Developed by arkoda, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen2.5-7b-instruct-bnb-4bit, indicating a foundation in the Qwen2.5 series. - Training Efficiency: Leverages Unsloth for optimized and accelerated training.
- Parameter Count: Features 7.6 billion parameters, placing it in the medium-sized LLM category.
- Context Length: Supports a substantial context window of 32,768 tokens.
Use Cases
This model is suitable for a variety of general-purpose language generation and instruction-following tasks, benefiting from its Qwen2 foundation and efficient fine-tuning.