---
base_model:
- Test157t/Yarncules-7b-128k
- Test157t/Prima-LelantaclesV3-7b
library_name: transformers
tags:
- mistral
- quantized
- text-generation-inference
- merge
- mergekit
pipeline_tag: text-generation
inference: false
---
**GGUF quantizations for [Test157t/Prima-LelantaclesV4-7b-16k](https://huggingface.co/Test157t/Prima-LelantaclesV4-7b-16k).**

*If you want any specific quantization to be added, feel free to ask.*

All credits belong to the [creator](https://huggingface.co/Test157t/).

`Base⇢ GGUF(F16)⇢ GGUF(Quants)`

Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2217](https://github.com/ggerganov/llama.cpp/releases/tag/b2217).

# Original model card:

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/SGL2JoMhUeNG2IhVEA7KT.jpeg)

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Test157t/Yarncules-7b-128k
        layer_range: [0, 32]
      - model: Test157t/Prima-LelantaclesV3-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV3-7b
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: bfloat16
```