quantumaikr/llama-2-70b-fb16-orca-chat-10k
quantumaikr/llama-2-70b-fb16-orca-chat-10k is a 69 billion parameter Llama 2 model developed by quantumaikr, fine-tuned on the Guanaco and Orca-Chat-10k datasets. This model is designed for chat-based interactions, leveraging its instruction-following capabilities derived from its training data. It is primarily intended for research purposes, focusing on conversational AI applications.
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Model Overview
quantumaikr/llama-2-70b-fb16-orca-chat-10k is a 69 billion parameter Llama 2 model, developed by quantumaikr. It has been fine-tuned using a combination of the Guanaco and Orca-Chat-10k datasets, which are known for enhancing instruction-following and conversational abilities in large language models. The model supports a context length of 32768 tokens, making it suitable for extended dialogues.
Key Capabilities
- Instruction Following: Enhanced through fine-tuning on diverse conversational datasets.
- Chat-based Interactions: Optimized for generating human-like responses in dialogue scenarios.
- Research Focus: Intended for academic and experimental use in natural language processing.
Usage and Limitations
This model is released under the CC BY-NC-4.0 license, restricting its use to non-commercial research. While fine-tuning helps mitigate some biases, users should be aware that generated responses may still contain biases or toxicity. It is crucial to use the model responsibly and not rely on its outputs as definitive sources of truth or substitutes for human judgment.
Prompt Format
The model expects a specific prompt format for optimal performance:
### System:
This is a system prompt, please behave and help the user.
### User:
Your prompt here
### Assistant
The output of QuantumLM