Kelvin000010191/Krypton-1
Krypton-1 is a 7 billion parameter instruction-tuned causal language model developed by Kelvin000010191, finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its Mistral base for efficient performance within a 4096 token context length.
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Kelvin000010191/Krypton-1 Overview
Krypton-1 is a 7 billion parameter instruction-tuned language model developed by Kelvin000010191. It is finetuned from the unsloth/mistral-7b-instruct-v0.3-bnb-4bit base model, leveraging the Mistral architecture for its capabilities.
Key Characteristics
- Base Model: Finetuned from
unsloth/mistral-7b-instruct-v0.3-bnb-4bit. - Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: Features 7 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context window of 4096 tokens.
Intended Use Cases
Krypton-1 is suitable for general instruction-following tasks, benefiting from its Mistral lineage and efficient finetuning. Its optimized training process suggests potential for applications where rapid deployment and efficient resource utilization are important.