---
base_model:
- Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16
- cognitivecomputations/Dolphin3.0-Llama3.2-3B
- MaziyarPanahi/calme-3.3-llamaloi-3b
library_name: transformers
tags:
- mergekit
- merge
license: llama3.2
model-index:
- name: Llama_3.2_3b_Kermes_v2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: wis-k/instruction-following-eval
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 57.54
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: SaylorTwift/bbh
      split: test
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 22.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: lighteval/MATH-Hard
      split: test
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 5.44
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.01
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 4.66
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 19.27
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
      name: Open LLM Leaderboard
---

---
# quantizations

GGUF static quantizations (Thanks Mradermacher!) :

https://huggingface.co/mradermacher/Llama_3.2_3b_Kermes_v2-GGUF

GGUF iMatrix quantizations (Thanks Mradermacher!) :

https://huggingface.co/mradermacher/Llama_3.2_3b_Kermes_v2-i1-GGUF

---
# 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16](https://huggingface.co/Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16) as a base.

### Models Merged

The following models were included in the merge:
* [cognitivecomputations/Dolphin3.0-Llama3.2-3B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-3B)
* [MaziyarPanahi/calme-3.3-llamaloi-3b](https://huggingface.co/MaziyarPanahi/calme-3.3-llamaloi-3b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: model_stock
models:
  - model: MaziyarPanahi/calme-3.3-llamaloi-3b
    parameters:
      weight: 1.0
  - model: cognitivecomputations/Dolphin3.0-Llama3.2-3B
    parameters:
      weight: 1.0
base_model: Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16
dtype: float16
normalize: true
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Nexesenex__Llama_3.2_3b_Kermes_v2-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Nexesenex%2FLlama_3.2_3b_Kermes_v2&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    18.50|
|IFEval (0-Shot)    |    57.54|
|BBH (3-Shot)       |    22.05|
|MATH Lvl 5 (4-Shot)|     5.44|
|GPQA (0-shot)      |     2.01|
|MuSR (0-shot)      |     4.66|
|MMLU-PRO (5-shot)  |    19.27|