Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


super-salad-8 - GGUF
- Model creator: https://huggingface.co/appvoid/
- Original model: https://huggingface.co/appvoid/super-salad-8/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |




Original model description:
---
base_model:
- h2oai/h2o-danube3-500m-base
- appvoid/arco-2
- appvoid/arco
library_name: transformers
tags:
- mergekit
- merge

---
# 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 [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.

### Models Merged

The following models were included in the merge:
* [appvoid/arco-2](https://huggingface.co/appvoid/arco-2)
* [appvoid/arco](https://huggingface.co/appvoid/arco)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: appvoid/arco-2
    parameters:
      density: 0.5
      weight: 0.5
  - model: appvoid/arco
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: h2oai/h2o-danube3-500m-base
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```