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---
base_model:
- Nitral-AI/Hathor_Fractionate-L3-8B-v.05
- turboderp/llama3-turbcat-instruct-8b
library_name: transformers
tags:
- mergekit
- merge
---
# QuantFactory/mergekit-slerp-vlrddld-GGUF
This is quantized version of [mergekit-community/mergekit-slerp-vlrddld](https://huggingface.co/mergekit-community/mergekit-slerp-vlrddld) created using llama.cpp
# Original Model Card
# 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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Nitral-AI/Hathor_Fractionate-L3-8B-v.05](https://huggingface.co/Nitral-AI/Hathor_Fractionate-L3-8B-v.05)
* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
layer_range: [0, 32]
- model: turboderp/llama3-turbcat-instruct-8b
layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
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