quantumaikr/QuantumLM-70B-hf
QuantumLM-70B-hf is a 69 billion parameter Llama2-based causal language model developed by quantumaikr. This model is fine-tuned on a combination of Guanaco and Guanaco-Unchained datasets, specializing in following instructions effectively. It is primarily intended for research purposes, offering strong performance in instruction-following tasks.
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QuantumLM-70B-hf: Instruction-Following Llama2 Model
QuantumLM-70B-hf is a 69 billion parameter language model built upon the Llama2 architecture. Developed by quantumaikr, this model has undergone fine-tuning using the Guanaco and Guanaco-Unchained datasets, which are known for enhancing instruction-following capabilities.
Key Capabilities
- Instruction Following: Excels at understanding and executing user instructions, making it suitable for conversational agents and task-oriented applications.
- Llama2 Base: Benefits from the robust foundation of the Llama2 70B model.
- Research-Oriented: Primarily intended for research and experimentation under the CC BY-NC-4.0 license.
Intended Use
This model is designed for research purposes, allowing developers and researchers to explore its instruction-following abilities and integrate it into experimental setups. Users should be aware of potential biases and limitations inherent in large language models and use the outputs responsibly, not as substitutes for human judgment.