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Browse files- .gitattributes +6 -0
- README.md +87 -0
- gemma-2-9B-it-advanced-v1-Q8_0.gguf +3 -0
- gemma-2-9B-it-advanced-v2.1-F32.gguf +3 -0
- gemma-2-9B-it-advanced-v2.1-Q5_K_M.gguf +3 -0
- gemma-2-9B-it-advanced-v2.1-Q5_K_S.gguf +3 -0
- gemma-2-9B-it-advanced-v2.1-Q6_K.gguf +3 -0
- gemma-2-9B-it-advanced-v2.1-Q8_0.gguf +3 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v2.1-F32.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v2.1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v2.1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v2.1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-2-9B-it-advanced-v2.1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- wzhouad/gemma-2-9b-it-WPO-HB
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- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- google/gemma-2-9b-it
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- princeton-nlp/gemma-2-9b-it-SimPO
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library_name: transformers
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tags:
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- mergekit
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- merge
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- merge
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---
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# Gemma Advanced V2.1 - GGUF Quants
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This is a merge of the 'smartest' advanced fine-tunes available for Gemma-2-9b-it.
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## Notes and observations:
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* The extreme temperature sensitivity from V1 has been fixed, no longer needs to be run at lower temperatures
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* Has a somewhat different writing style than any of the parent models
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* Great instruction following
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* Tracks plot details well and has good situational understanding
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* Seems to have a good understanding of psychology, emotions and creative writing
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* More 'sane' than base gemma-it, SPPO, or SimPO - not as prone to 'Cruella De Vil' or 'Evil Sorceress' like SPPO or SimPO, when portraying characters
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* Would likely serve as a good base for further merges
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* I'm looking for a job, if you're hiring. I'm a skilled Python developer who brings strong devops skills along with an ever-growing knowledge of machine learning pipelines and models. Message me if you want to talk about what I can bring to your team.
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* Overall, this feels like a very useful and successful merge.
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GGUFs here: https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1-GGUF
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# sample ollama Modelfile
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```yaml
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FROM /path/to/file/gemma-2-9B-it-advanced-v2.1-Q8_0.gguf
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PARAMETER stop "<start_of_turn>"
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PARAMETER stop "<end_of_turn>"
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PARAMETER num_ctx 8192
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TEMPLATE """<start_of_turn>user
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{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn>
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<start_of_turn>model
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{{ .Response }}<end_of_turn>"""
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```
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the della merge method using [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) as a base.
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### Models Merged
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The following models were included in the merge:
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* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
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* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
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* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: google/gemma-2-9b-it
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- model: wzhouad/gemma-2-9b-it-WPO-HB
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parameters:
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density: 0.55
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weight: 0.6
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- model: princeton-nlp/gemma-2-9b-it-SimPO
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parameters:
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density: 0.35
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weight: 0.6
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- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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parameters:
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density: 0.25
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weight: 0.4
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merge_method: della
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base_model: google/gemma-2-9b-it
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parameters:
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normalize: true
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int8_mask: true
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lambda: 1.0
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epsilon: 0.1
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dtype: float16
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```
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