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Adding Evaluation Results (#1)
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metadata
language:
  - en
license: llama3.1
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - SicariusSicariiStuff/Dusk_Rainbow
  - unsloth/DeepSeek-R1-Distill-Llama-8B
  - allura-org/L3.1-8b-RP-Ink
  - unsloth/Meta-Llama-3.1-8B
model-index:
  - name: L3.1-8B-Dusky-Ink_v0.r1
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 19.85
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 20.18
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 4.31
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 7.16
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          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: 7.82
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          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: 24.51
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/L3.1-8B-Dusky-Ink_v0.r1
          name: Open LLM Leaderboard

Merge

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

Quant: https://huggingface.co/Triangle104/L3.1-8B-Dusky-Ink_v0.r1-Q4_K_M-GGUF

Merge Method

This model was merged using the Model Stock merge method using unsloth/Meta-Llama-3.1-8B 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: unsloth/DeepSeek-R1-Distill-Llama-8B
  - model: allura-org/L3.1-8b-RP-Ink
  - model: SicariusSicariiStuff/Dusk_Rainbow
merge_method: model_stock
base_model: unsloth/Meta-Llama-3.1-8B
parameters:
    normalize: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 13.97
IFEval (0-Shot) 19.85
BBH (3-Shot) 20.18
MATH Lvl 5 (4-Shot) 4.31
GPQA (0-shot) 7.16
MuSR (0-shot) 7.82
MMLU-PRO (5-shot) 24.51