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---
base_model:
- Test157t/Pasta-PrimaMaid-7b
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
library_name: transformers
tags:
- mistral
- quantized
- text-generation-inference
- merge
- mergekit
pipeline_tag: text-generation
inference: false
---
**GGUF quantizations for [Pasta-Lake-7b](https://huggingface.co/Test157t/Pasta-Lake-7b).**
*If you want any specific quantization to be added, feel free to ask.*
All credits belong to the [creator](https://huggingface.co/Test157t/).
SillyTavern preset files [here](https://huggingface.co/Test157t/Pasta-Lake-7b/tree/main/ST%20PRESETS).
`Base⇢ GGUF(F16)⇢ GGUF(Quants)`
The new **IQ3_S** merged today has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.60` or higher.
Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2254](https://github.com/ggerganov/llama.cpp/releases/tag/b2254).
# Original model information:
### Models Merged
The following models were included in the merge:
* [Test157t/Pasta-PrimaMaid-7b](https://huggingface.co/Test157t/Pasta-PrimaMaid-7b)
* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Test157t/Pasta-PrimaMaid-7b
layer_range: [0, 32]
- model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-PrimaMaid-7b
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: float16
```
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