README.md

---

license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- vicgalle/Configurable-Llama-3.1-8B-Instruct
- bunnycore/HyperLlama-3.1-8B
- ValiantLabs/Llama3.1-8B-ShiningValiant2

---

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# QuantFactory/HyperLlama3.1-v2-GGUF
This is quantized version of [bunnycore/HyperLlama3.1-v2](https://huggingface.co/bunnycore/HyperLlama3.1-v2) created using llama.cpp

# Original Model Card


# HyperLlama3.1-v2

HyperLlama3.1-v2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co/vicgalle/Configurable-Llama-3.1-8B-Instruct)
* [bunnycore/HyperLlama-3.1-8B](https://huggingface.co/bunnycore/HyperLlama-3.1-8B)
* [ValiantLabs/Llama3.1-8B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: vicgalle/Configurable-Llama-3.1-8B-Instruct
        parameters:
          weight: 1
        layer_range: [0, 32]
      - model: bunnycore/HyperLlama-3.1-8B
        parameters:
          weight: 0.9
        layer_range: [0, 32]
      - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
        parameters:
          weight: 0.6
        layer_range: [0, 32]
merge_method: task_arithmetic
base_model: bunnycore/HyperLlama-3.1-8B
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


```