quantumaikr/QuantumLM-7B
QuantumLM-7B is a 7 billion parameter Llama2-based causal language model developed by quantumaikr. It has been fine-tuned on a Wizard-Orca style dataset, optimizing its ability to follow instructions effectively. This model is designed for research purposes, excelling in instruction-following tasks with a context length of 4096 tokens.
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QuantumLM-7B Overview
QuantumLM-7B is a 7 billion parameter language model built upon the Llama2 architecture, developed by quantumaikr. This model has undergone fine-tuning using a Wizard-Orca style dataset, which enhances its proficiency in understanding and executing instructions. It operates with a context length of 4096 tokens, making it suitable for various conversational and instruction-based applications.
Key Capabilities
- Instruction Following: Optimized to follow instructions effectively, making it suitable for tasks requiring precise responses based on user prompts.
- Llama2 Base: Benefits from the robust architecture of the Llama2 family, providing a strong foundation for language generation.
- Research-Oriented: Intended primarily for research and development, adhering to the CC BY-NC-4.0 license.
Intended Use and Limitations
QuantumLM-7B is designed for research purposes. Users should be aware that despite fine-tuning efforts, the model may still exhibit biases or generate toxic content. Outputs should not be considered substitutes for human judgment or definitive sources of truth. Responsible use is encouraged, and adherence to the specified prompt format (### System:, ### User:, ### Assistant:) is recommended for optimal performance.