README.md

---
base_model:
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
- kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- kloodia/lora-8b-physic
- bluuwhale/L3-SthenoMaid-8B-V1
- kik41/lora-formality-informal-llama-3-8b
- Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
- kik41/lora-sarcasm-more-llama-3-8b-v2
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- kloodia/lora-8b-math
- SicariusSicariiStuff/Impish_Mind_8B
- kik41/lora-type-expository-llama-3-8b-v2
library_name: transformers
tags:
- mergekit
- merge
license: llama3.1
model-index:
- name: Wannabe-8B-Model_Stock
  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: 72.05
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      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: 34.28
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      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: 17.6
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      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: 6.82
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      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: 12.32
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      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: 31.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
      name: Open LLM Leaderboard
---
# 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 [bluuwhale/L3-SthenoMaid-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaid-8B-V1) + [kik41/lora-formality-informal-llama-3-8b](https://huggingface.co/kik41/lora-formality-informal-llama-3-8b) as a base.

### Models Merged

The following models were included in the merge:
* [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base) + [kloodia/lora-8b-medic](https://huggingface.co/kloodia/lora-8b-medic)
* [mlabonne/Hermes-3-Llama-3.1-8B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated) + [kloodia/lora-8b-physic](https://huggingface.co/kloodia/lora-8b-physic)
* [Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B) + [kik41/lora-sarcasm-more-llama-3-8b-v2](https://huggingface.co/kik41/lora-sarcasm-more-llama-3-8b-v2)
* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) + [kloodia/lora-8b-math](https://huggingface.co/kloodia/lora-8b-math)
* [SicariusSicariiStuff/Impish_Mind_8B](https://huggingface.co/SicariusSicariiStuff/Impish_Mind_8B) + [kik41/lora-type-expository-llama-3-8b-v2](https://huggingface.co/kik41/lora-type-expository-llama-3-8b-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct+kloodia/lora-8b-math
  - model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base+kloodia/lora-8b-medic
  - model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-physic
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B+kik41/lora-sarcasm-more-llama-3-8b-v2
  - model: SicariusSicariiStuff/Impish_Mind_8B+kik41/lora-type-expository-llama-3-8b-v2
merge_method: model_stock
base_model: bluuwhale/L3-SthenoMaid-8B-V1+kik41/lora-formality-informal-llama-3-8b
normalize: false
int8_mask: true
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/DreadPoor__Wannabe-8B-Model_Stock-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2FWannabe-8B-Model_Stock&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    29.09|
|IFEval (0-Shot)    |    72.05|
|BBH (3-Shot)       |    34.28|
|MATH Lvl 5 (4-Shot)|    17.60|
|GPQA (0-shot)      |     6.82|
|MuSR (0-shot)      |    12.32|
|MMLU-PRO (5-shot)  |    31.45|