Quantization made by Richard Erkhov.

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

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

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


dare_saba_1 - GGUF
- Model creator: https://huggingface.co/Sakalti/
- Original model: https://huggingface.co/Sakalti/dare_saba_1/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [dare_saba_1.Q2_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q2_K.gguf) | Q2_K | 1.08GB |
| [dare_saba_1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.IQ3_XS.gguf) | IQ3_XS | 1.2GB |
| [dare_saba_1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.IQ3_S.gguf) | IQ3_S | 1.25GB |
| [dare_saba_1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q3_K_S.gguf) | Q3_K_S | 1.25GB |
| [dare_saba_1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.IQ3_M.gguf) | IQ3_M | 1.28GB |
| [dare_saba_1.Q3_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q3_K.gguf) | Q3_K | 1.36GB |
| [dare_saba_1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q3_K_M.gguf) | Q3_K_M | 1.36GB |
| [dare_saba_1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q3_K_L.gguf) | Q3_K_L | 1.46GB |
| [dare_saba_1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.IQ4_XS.gguf) | IQ4_XS | 1.52GB |
| [dare_saba_1.Q4_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q4_0.gguf) | Q4_0 | 1.58GB |
| [dare_saba_1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.IQ4_NL.gguf) | IQ4_NL | 1.59GB |
| [dare_saba_1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q4_K_S.gguf) | Q4_K_S | 1.59GB |
| [dare_saba_1.Q4_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q4_K.gguf) | Q4_K | 1.67GB |
| [dare_saba_1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q4_K_M.gguf) | Q4_K_M | 1.67GB |
| [dare_saba_1.Q4_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q4_1.gguf) | Q4_1 | 1.74GB |
| [dare_saba_1.Q5_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q5_0.gguf) | Q5_0 | 1.89GB |
| [dare_saba_1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q5_K_S.gguf) | Q5_K_S | 1.89GB |
| [dare_saba_1.Q5_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q5_K.gguf) | Q5_K | 1.94GB |
| [dare_saba_1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q5_K_M.gguf) | Q5_K_M | 1.94GB |
| [dare_saba_1.Q5_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q5_1.gguf) | Q5_1 | 2.05GB |
| [dare_saba_1.Q6_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q6_K.gguf) | Q6_K | 2.22GB |
| [dare_saba_1.Q8_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_dare_saba_1-gguf/blob/main/dare_saba_1.Q8_0.gguf) | Q8_0 | 2.88GB |




Original model description:
---
base_model:
- win10/Qwen2.5-2B-Instruct
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [win10/Qwen2.5-2B-Instruct](https://huggingface.co/win10/Qwen2.5-2B-Instruct) as a base.

### Models Merged

The following models were included in the merge:


### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: win10/Qwen2.5-2B-Instruct
    parameters:
      density: 0.5
      weight: 0.4
merge_method: dare_ties
base_model: win10/Qwen2.5-2B-Instruct
parameters:
  density: 0.5
  weight: 0.6
  int8_mask: true
dtype: float16
```