---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- jeiku/Cookie_7B
- jeiku/SpaghettiOs_7B
- jeiku/Rainbow_69_7B
- jeiku/Paranoid_Android_7B
model-index:
- name: NarrativeNexus_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: 66.13
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_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: 85.74
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_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: 63.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_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: 63.95
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_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: 79.01
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_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: 51.78
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/NarrativeNexus_7B
      name: Open LLM Leaderboard
---
# Nexus

This is my new favorite 7B, made from a merge of tunes and merges that I've tossed together over the last week or so. This model seems to be greater than the sum of its parts, and is performing well in riddle testing and markdown role playing. I have also been using this model to generate 1000 token narratives that I am using to improve custom story datasets for use with future models. It is highly descriptive and readily fills a futanari character. You can likely utilize it for female or male characters as well. Enjoy!

GGUF here: https://huggingface.co/jeiku/NarrativeNexus_7B_GGUF

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/AjM3xQfoKvXys-aj8plP9.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 [jeiku/Cookie_7B](https://huggingface.co/jeiku/Cookie_7B) as a base.

### Models Merged

The following models were included in the merge:
* [jeiku/SpaghettiOs_7B](https://huggingface.co/jeiku/SpaghettiOs_7B)
* [jeiku/Rainbow_69_7B](https://huggingface.co/jeiku/Rainbow_69_7B)
* [jeiku/Paranoid_Android_7B](https://huggingface.co/jeiku/Paranoid_Android_7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: dare_ties
base_model: jeiku/Cookie_7B
parameters:
  normalize: true
models:
  - model: jeiku/SpaghettiOs_7B
    parameters:
      weight: 1
  - model: jeiku/Rainbow_69_7B
    parameters:
      weight: 1
  - model: jeiku/Paranoid_Android_7B
    parameters:
      weight: 0.75            
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_jeiku__NarrativeNexus_7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |68.30|
|AI2 Reasoning Challenge (25-Shot)|66.13|
|HellaSwag (10-Shot)              |85.74|
|MMLU (5-Shot)                    |63.17|
|TruthfulQA (0-shot)              |63.95|
|Winogrande (5-shot)              |79.01|
|GSM8k (5-shot)                   |51.78|