---
base_model:
- grimjim/kukulemon-7B
- Nitral-AI/Kunocchini-7b-128k-test
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral 
license: cc-by-nc-4.0
model-index:
- name: Kunokukulemonchini-7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 66.72
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/Kunokukulemonchini-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 86.31
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/Kunokukulemonchini-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 64.11
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/Kunokukulemonchini-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 61.89
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/Kunokukulemonchini-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 78.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/Kunokukulemonchini-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 60.20
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
      name: Open LLM Leaderboard
---
# Kunokukulemonchini-7b

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Here is an 4.1bpw exl2 quant [Kunokukulemonchini-7b-4.1bpw-exl2](https://huggingface.co/icefog72/Kunokukulemonchini-7b-4.1bpw-exl2) for people like me with 6gb vram.

Thx to Natkituwu for 
- 3.5bpw [Kunokukulemonchini-7b-3.5bpw-exl2](https://huggingface.co/Natkituwu/Kunokukulemonchini-7b-3.5bpw-exl2)
- 5.0bpw [Kunokukulemonchini-7b-5.0bpw-exl2](https://huggingface.co/Natkituwu/Kunokukulemonchini-7b-5.0bpw-exl2)
- 6.5bpw [Kunokukulemonchini-7b-6.5bpw-exl2](https://huggingface.co/Natkituwu/Kunokukulemonchini-7b-6.5bpw-exl2)
- 8.0bpw [Kunokukulemonchini-7b-8.0bpw-exl2](https://huggingface.co/Natkituwu/Kunokukulemonchini-7b-8.0bpw-exl2)

## Merge Details

Slightly edited kukulemon-7B config.json before merge to get at least ~32k context window.

### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [grimjim/kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B)
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: grimjim/kukulemon-7B
        layer_range: [0, 32]
      - model: Nitral-AI/Kunocchini-7b-128k-test
        layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Kunocchini-7b-128k-test
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
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_icefog72__Kunokukulemonchini-7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.61|
|AI2 Reasoning Challenge (25-Shot)|66.72|
|HellaSwag (10-Shot)              |86.31|
|MMLU (5-Shot)                    |64.11|
|TruthfulQA (0-shot)              |61.89|
|Winogrande (5-shot)              |78.45|
|GSM8k (5-shot)                   |60.20|