metadata

base_model:
  - Nekochu/Luminia-8B-RP
  - ResplendentAI/Smarts_Llama3
  - refuelai/Llama-3-Refueled
  - Blackroot/Llama-3-8B-Abomination-LORA
  - akjindal53244/Llama-3.1-Storm-8B
  - kloodia/lora-8b-physic
  - Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
  - Replete-AI/L3-Pneuma-8B
  - ResplendentAI/NoWarning_Llama3
  - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
  - kloodia/lora-8b-bio
library_name: transformers
tags:
  - mergekit
  - merge
license: apache-2.0
model-index:
  - name: LemonP-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: 76.76
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-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: 35.37
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-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: 17.22
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-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: 7.05
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-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: 10.08
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-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: 33.38
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FLemonP-8B-Model_Stock
          name: Open LLM Leaderboard

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-bio
  - model: akjindal53244/Llama-3.1-Storm-8B+kloodia/lora-8b-physic
  - model: refuelai/Llama-3-Refueled+Blackroot/Llama-3-8B-Abomination-LORA
  - model: Replete-AI/L3-Pneuma-8B+ResplendentAI/NoWarning_Llama3 
  - model: Nekochu/Luminia-8B-RP+ResplendentAI/Smarts_Llama3
merge_method: model_stock
base_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
normalize: false
int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	29.98
IFEval (0-Shot)	76.76
BBH (3-Shot)	35.37
MATH Lvl 5 (4-Shot)	17.22
GPQA (0-shot)	7.05
MuSR (0-shot)	10.08
MMLU-PRO (5-shot)	33.38