description Reflection 70B Overview
Reflection 70B is a large language model released by HyperWrite in 2024. It was fine-tuned from Meta's Llama 3.1 70B model and was presented as using reflection tuning, a training approach intended to make a model review and correct aspects of its own generated reasoning. The model is relevant to discussions of open-weight language models and experimental approaches to improving reliability on reasoning tasks.
help Reflection 70B FAQ
What is Reflection 70B?
Reflection 70B is a large language model released by HyperWrite in 2024. It was fine-tuned from Meta's Llama 3.1 70B model.
What does the name Reflection refer to?
The name refers to reflection tuning, an approach intended to make the model review and correct parts of its own generated reasoning. The model was presented as using that method during its 2024 release.
What base model was Reflection 70B built from?
It was fine-tuned from Meta's Llama 3.1 70B. That places it in the 70-billion-parameter class of large language models.
Who released Reflection 70B?
HyperWrite released Reflection 70B. Its launch became associated with claims about self-reviewing model outputs and reflection-style tuning.
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