--- base_model: - ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1 - UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 library_name: transformers tags: - mergekit - merge --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Memory-9-GGUF This is quantized version of [ClaudioItaly/Memory-9](https://huggingface.co/ClaudioItaly/Memory-9) created using llama.cpp # Original Model Card # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * [ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) * [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1 - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 merge_method: slerp base_model: ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1 dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers ```