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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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super-salad-8 - GGUF |
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- Model creator: https://huggingface.co/appvoid/ |
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- Original model: https://huggingface.co/appvoid/super-salad-8/ |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [super-salad-8.Q2_K.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q2_K.gguf) | Q2_K | 0.2GB | |
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| [super-salad-8.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.IQ3_XS.gguf) | IQ3_XS | 0.22GB | |
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| [super-salad-8.IQ3_S.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.IQ3_S.gguf) | IQ3_S | 0.22GB | |
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| [super-salad-8.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q3_K_S.gguf) | Q3_K_S | 0.22GB | |
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| [super-salad-8.IQ3_M.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.IQ3_M.gguf) | IQ3_M | 0.23GB | |
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| [super-salad-8.Q3_K.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q3_K.gguf) | Q3_K | 0.24GB | |
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| [super-salad-8.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q3_K_M.gguf) | Q3_K_M | 0.24GB | |
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| [super-salad-8.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q3_K_L.gguf) | Q3_K_L | 0.26GB | |
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| [super-salad-8.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.IQ4_XS.gguf) | IQ4_XS | 0.27GB | |
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| [super-salad-8.Q4_0.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q4_0.gguf) | Q4_0 | 0.28GB | |
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| [super-salad-8.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.IQ4_NL.gguf) | IQ4_NL | 0.28GB | |
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| [super-salad-8.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q4_K_S.gguf) | Q4_K_S | 0.28GB | |
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| [super-salad-8.Q4_K.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q4_K.gguf) | Q4_K | 0.3GB | |
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| [super-salad-8.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q4_K_M.gguf) | Q4_K_M | 0.3GB | |
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| [super-salad-8.Q4_1.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q4_1.gguf) | Q4_1 | 0.31GB | |
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| [super-salad-8.Q5_0.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q5_0.gguf) | Q5_0 | 0.34GB | |
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| [super-salad-8.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q5_K_S.gguf) | Q5_K_S | 0.34GB | |
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| [super-salad-8.Q5_K.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q5_K.gguf) | Q5_K | 0.34GB | |
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| [super-salad-8.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q5_K_M.gguf) | Q5_K_M | 0.34GB | |
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| [super-salad-8.Q5_1.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q5_1.gguf) | Q5_1 | 0.36GB | |
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| [super-salad-8.Q6_K.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q6_K.gguf) | Q6_K | 0.39GB | |
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| [super-salad-8.Q8_0.gguf](https://huggingface.co/RichardErkhov/appvoid_-_super-salad-8-gguf/blob/main/super-salad-8.Q8_0.gguf) | Q8_0 | 0.51GB | |
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Original model description: |
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--- |
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base_model: |
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- h2oai/h2o-danube3-500m-base |
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- appvoid/arco-2 |
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- appvoid/arco |
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [h2oai/h2o-danube3-500m-base](https://huggingface.co/h2oai/h2o-danube3-500m-base) 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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* [appvoid/arco-2](https://huggingface.co/appvoid/arco-2) |
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* [appvoid/arco](https://huggingface.co/appvoid/arco) |
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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: appvoid/arco-2 |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: appvoid/arco |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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merge_method: ties |
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base_model: h2oai/h2o-danube3-500m-base |
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parameters: |
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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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