quantumaikr/llama-2-70B-instruct
The quantumaikr/llama-2-70B-instruct is a 69 billion parameter Llama 2 model, specifically a fine-tuned version of garage-bAInd/Platypus2-70B-instruct. Developed by quantumaikr, this instruction-tuned model is designed for conversational AI and adheres to a specific prompt format for optimal performance. It is intended for research purposes under the CC BY-NC-4.0 license.
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Model Overview
The quantumaikr/llama-2-70B-instruct is an instruction-tuned large language model based on the Llama 2 70B architecture, specifically fine-tuned from the garage-bAInd/Platypus2-70B-instruct model. This 69 billion parameter model is designed to follow instructions effectively, with a recommended prompt format for optimal interaction.
Key Capabilities
- Instruction Following: The model is fine-tuned to respond well to instructions, making it suitable for conversational AI applications.
- Specific Prompt Format: It is optimized for a particular prompt structure, including system, user, and assistant roles, to guide its responses.
- Research Focus: Intended primarily for research use, aligning with the CC BY-NC-4.0 license.
Limitations and Considerations
- Bias and Toxicity: While fine-tuning aims to mitigate biases, users should be aware that not all biases or toxic outputs can be entirely eliminated. Model outputs should not be considered definitive sources of truth.
- Responsible Use: Users are advised to use the model responsibly and be mindful of potential issues in generated content.
This model provides a robust base for research into instruction-tuned Llama 2 variants, emphasizing controlled and guided interactions.