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Shiny-Phi3.5
johnsoupir/Shiny-Phi3.5
Shiny-Phi3.5 is a machine learning model from johnsoupir. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Shiny-Phi3.5 is a reflection fine-tune of Phi3.5 using mahiatlinux's dataset.
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At a glance
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Sep 10, 2024
- SHA
- 8290fa3e
Base models
Model card
From the Hugging Face model README
Shiny-Phi3.5
Shiny-Phi3.5 is a reflection fine-tune of Phi3.5 using mahiatlinux's dataset.
Recently "Reflection 70B" drew a lot of attention after making claims of massive performance gains via reflection tuning. However, independent testing has been unable to reproduce these results.
I was curious to try it myself, so I made this model. If you'd like to try a smaller reflection model for yourself, or just one that's not associated with the original - then here you go!
What is reflection? Reflection fine-tuning guides the model to generate a plan, and then reflect on the plan before proceeding to the final output. A similar approach has been used by Claude: instructing the model to plan and reflect via system prompts. Reflection tuning "bakes in" the behavior.
- Created
- Sep 7, 2024
- Updated
- Sep 10, 2024