---
base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- NousResearch/Hermes-3-Llama-3.1-8B
- arcee-ai/Llama-3.1-SuperNova-Lite
- akjindal53244/Llama-3.1-Storm-8B
- mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
library_name: transformers
tags:
- mergekit
- merge
license: llama3.1
model-index:
- name: Llama3.1-LexiHermes-SuperStorm
  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: 78.35
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      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: 32.55
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      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: 16.16
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      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: 9.73
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      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: 8.2
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      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: 31.6
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-LexiHermes-SuperStorm
      name: Open LLM Leaderboard
---
# Llama3.1-LexiHermes-SuperStorm

A mix of four high-performing models using the new [SCE](https://arxiv.org/abs/2408.07990) merging technique. This model was created using [mergekit](https://github.com/cg123/mergekit).

Models Merged
- [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
- [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)
- [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
- [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)

Base model: [mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated)

## Features
- Solid and consistent style even without finetuning
- Abliterated to avoid outright request refusals
- Suitable for roleplaying (possibly due to Hermes component)
- Can replace Llama 3.1 8B Instruct for general tasks

## Limitations
- Function calling and other languages not tested
- May struggle with math and logic like other language models
- Potential for factual errors, especially in specialized fields
- Not intended for public deployment without additional safeguards

## Merge Configuration
The following YAML configuration was used:

```yaml
models:
  - model: Hermes-3-Llama-3.1-8B
  - model: Llama-3.1-8B-Lexi-Uncensored-V2
  - model: Llama-3.1-SuperNova-Lite
  - model: Llama-3.1-Storm-8B
merge_method: sce
base_model: Meta-Llama-3.1-8B-Instruct-abliterated
parameters:
  select_topk: 1.5
dtype: bfloat16
```
# [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/agentlans__Llama3.1-LexiHermes-SuperStorm-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FLlama3.1-LexiHermes-SuperStorm&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    29.43|
|IFEval (0-Shot)    |    78.35|
|BBH (3-Shot)       |    32.55|
|MATH Lvl 5 (4-Shot)|    16.16|
|GPQA (0-shot)      |     9.73|
|MuSR (0-shot)      |     8.20|
|MMLU-PRO (5-shot)  |    31.60|