Quantization made by Richard Erkhov.

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

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Sina-Loki-7b-Merge - GGUF
- Model creator: https://huggingface.co/Azazelle/
- Original model: https://huggingface.co/Azazelle/Sina-Loki-7b-Merge/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Sina-Loki-7b-Merge.Q2_K.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q2_K.gguf) | Q2_K | 2.53GB |
| [Sina-Loki-7b-Merge.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [Sina-Loki-7b-Merge.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [Sina-Loki-7b-Merge.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [Sina-Loki-7b-Merge.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [Sina-Loki-7b-Merge.Q3_K.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q3_K.gguf) | Q3_K | 3.28GB |
| [Sina-Loki-7b-Merge.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [Sina-Loki-7b-Merge.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [Sina-Loki-7b-Merge.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [Sina-Loki-7b-Merge.Q4_0.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q4_0.gguf) | Q4_0 | 3.83GB |
| [Sina-Loki-7b-Merge.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [Sina-Loki-7b-Merge.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [Sina-Loki-7b-Merge.Q4_K.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q4_K.gguf) | Q4_K | 4.07GB |
| [Sina-Loki-7b-Merge.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [Sina-Loki-7b-Merge.Q4_1.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q4_1.gguf) | Q4_1 | 4.24GB |
| [Sina-Loki-7b-Merge.Q5_0.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q5_0.gguf) | Q5_0 | 4.65GB |
| [Sina-Loki-7b-Merge.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [Sina-Loki-7b-Merge.Q5_K.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q5_K.gguf) | Q5_K | 4.78GB |
| [Sina-Loki-7b-Merge.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [Sina-Loki-7b-Merge.Q5_1.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q5_1.gguf) | Q5_1 | 5.07GB |
| [Sina-Loki-7b-Merge.Q6_K.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q6_K.gguf) | Q6_K | 5.53GB |
| [Sina-Loki-7b-Merge.Q8_0.gguf](https://huggingface.co/RichardErkhov/Azazelle_-_Sina-Loki-7b-Merge-gguf/blob/main/Sina-Loki-7b-Merge.Q8_0.gguf) | Q8_0 | 7.17GB |




Original model description:
---
pipeline_tag: text-generation
tags:
- mistral
- merge
license: cc-by-4.0
---
# Model Card for Sina-Loki-7b-Merge
<!-- Provide a quick summary of what the model is/does. -->
Part of a series of experimental DARE merges.

.yaml file for mergekit
```.yaml:
models:
  - model: RatanRohith/SRBOSGPT-7B-slerp
    # no parameters necessary for base model
  - model: rishiraj/smol-7b #75
    parameters:
      weight: 0.2
      density: 0.41
  - model: SanjiWatsuki/openchat-3.5-1210-starling-slerp #125
    parameters:
      weight: 0.33
      density: 0.54
  - model: Azazelle/Dumb-Maidlet #200
    parameters:
      weight: 0.53
      density: 0.71
merge_method: dare_ties
base_model: RatanRohith/SRBOSGPT-7B-slerp
parameters:
  int8_mask: true
dtype: bfloat16
```