Memory-9-GGUF / README.md
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---
base_model:
- ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
library_name: transformers
tags:
- mergekit
- merge
---
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# 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
```