RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Hematoma-Gemma-Model-Stock-9B - GGUF
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- Model creator: https://huggingface.co/Nekuromento/
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- Original model: https://huggingface.co/Nekuromento/Hematoma-Gemma-Model-Stock-9B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Hematoma-Gemma-Model-Stock-9B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q2_K.gguf) | Q2_K | 3.54GB |
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| [Hematoma-Gemma-Model-Stock-9B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.IQ3_XS.gguf) | IQ3_XS | 3.86GB |
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| [Hematoma-Gemma-Model-Stock-9B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.IQ3_S.gguf) | IQ3_S | 4.04GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q3_K_S.gguf) | Q3_K_S | 4.04GB |
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| [Hematoma-Gemma-Model-Stock-9B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.IQ3_M.gguf) | IQ3_M | 4.19GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q3_K.gguf) | Q3_K | 4.43GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q3_K_M.gguf) | Q3_K_M | 4.43GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q3_K_L.gguf) | Q3_K_L | 4.78GB |
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| [Hematoma-Gemma-Model-Stock-9B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.IQ4_XS.gguf) | IQ4_XS | 4.86GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q4_0.gguf) | Q4_0 | 5.07GB |
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| [Hematoma-Gemma-Model-Stock-9B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.IQ4_NL.gguf) | IQ4_NL | 5.1GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q4_K_S.gguf) | Q4_K_S | 5.1GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q4_K.gguf) | Q4_K | 5.37GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q4_K_M.gguf) | Q4_K_M | 5.37GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q4_1.gguf) | Q4_1 | 5.55GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q5_0.gguf) | Q5_0 | 6.04GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q5_K_S.gguf) | Q5_K_S | 6.04GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q5_K.gguf) | Q5_K | 6.19GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q5_K_M.gguf) | Q5_K_M | 6.19GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q5_1.gguf) | Q5_1 | 6.52GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q6_K.gguf) | Q6_K | 7.07GB |
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| [Hematoma-Gemma-Model-Stock-9B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Nekuromento_-_Hematoma-Gemma-Model-Stock-9B-gguf/blob/main/Hematoma-Gemma-Model-Stock-9B.Q8_0.gguf) | Q8_0 | 9.15GB |
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Original model description:
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---
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base_model:
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- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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- princeton-nlp/gemma-2-9b-it-SimPO
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- wzhouad/gemma-2-9b-it-WPO-HB
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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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---
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# merge
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) 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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* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
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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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* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
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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: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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- model: princeton-nlp/gemma-2-9b-it-SimPO
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- model: wzhouad/gemma-2-9b-it-WPO-HB
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merge_method: model_stock
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base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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normalize: false
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int8_mask: true
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dtype: float16
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```
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