README.md

---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- jeiku/NarrativeNexus_7B
- mlabonne/AlphaMonarch-7B
- CultriX/NeuralTrix-bf16
- jeiku/Cookie_7B
- jeiku/Luna_7B
model-index:
- name: This_is_fine_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: 70.31
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 87.28
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 64.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 65.79
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 81.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 62.77
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
      name: Open LLM Leaderboard
---
# Fine

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/IYw4qBq-FixFisOj755bC.jpeg)

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) as a base.

### Models Merged

The following models were included in the merge:
* [jeiku/NarrativeNexus_7B](https://huggingface.co/jeiku/NarrativeNexus_7B)
* [CultriX/NeuralTrix-bf16](https://huggingface.co/CultriX/NeuralTrix-bf16)
* [jeiku/Cookie_7B](https://huggingface.co/jeiku/Cookie_7B)
* [jeiku/Luna_7B](https://huggingface.co/jeiku/Luna_7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
  normalize: true
models:
  - model: jeiku/Luna_7B
    parameters:
      weight: 0.75
  - model: jeiku/Cookie_7B
    parameters:
      weight: 1
  - model: jeiku/NarrativeNexus_7B
    parameters:
      weight: 0.5
  - model: CultriX/NeuralTrix-bf16
    parameters:
      weight: 0.75
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      weight: 1           
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_ChaoticNeutrals__This_is_fine_7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |72.05|
|AI2 Reasoning Challenge (25-Shot)|70.31|
|HellaSwag (10-Shot)              |87.28|
|MMLU (5-Shot)                    |64.51|
|TruthfulQA (0-shot)              |65.79|
|Winogrande (5-shot)              |81.61|
|GSM8k (5-shot)                   |62.77|