DiscoPOP-zephyr-7b-gemma-GGUF

💫 Community Model> DiscoPOP-zephyr-7b-gemma by Sakana AI

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Model creator: Sakana AI<br> Original model: DiscoPOP-zephyr-7b-gemma<br> GGUF quantization: provided by bartowski based on llama.cpp release b3145<br>

Model Summary:

This model is based on the Zephyr 7b Gemma model, trained with a brand new technique called DiscoPOP. DiscoPOP is Sakana AI's Discovered Preference Optimization algorithm.<br> This training method is brand new, discovered through experimental model prompting to discover new bespoke training techniques.

Prompt template:

Choose the ChatML preset in your LM Studio.

Under the hood, the model will see a prompt that's formatted like so:

<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

This model is not tuned for a system prompt.

Technical Details

DiscoPOP was discovered through a new method proposed by Sakana AI. In this method, an LLM is prompted to propose and implement new preference optimization loss functions based on previously-evaluated performance metrics.<br> This process leads to the discovery of previously-unknown preference optimization algorithms. DiscoPOP represents the best performing discovered preference optimizer.<br>

DiscoPOP achieves a higher score (Reward) while deviating less from the base model (KL Divergence), compared to existing state-of-the-art methods such as DPO.

For a deeper analysis and additional details, you can read their blog post here: https://sakana.ai/llm-squared/

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp

🙏 Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.

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