README.md

metadata

license: apache-2.0
tags:
  - mergekit
  - merge
base_model:
  - NeverSleep/CausalLM-RP-34B
  - anthracite-org/magnum-v3-34b
model-index:
  - name: Casual-Magnum-34B
    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: 19.3
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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: 43.05
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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: 7.85
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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: 16.33
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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: 8.4
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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: 46.49
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
          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 SLERP merge method.

Models Merged

The following models were included in the merge:

• NeverSleep/CausalLM-RP-34B
• anthracite-org/magnum-v3-34b

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ../models/anthracite-org_magnum-v3-34b
  - model: ../models/NeverSleep_CausalLM-RP-34B
merge_method: slerp
base_model: ../models/NeverSleep_CausalLM-RP-34B
parameters:
  t:
    - value: [0, 0.1, 0.2, 0.4, 0.5, 0.6, 0.5, 0.4, 0.2, 0.1, 0] 
  embed_slerp: true  
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	23.57
IFEval (0-Shot)	19.30
BBH (3-Shot)	43.05
MATH Lvl 5 (4-Shot)	7.85
GPQA (0-shot)	16.33
MuSR (0-shot)	8.40
MMLU-PRO (5-shot)	46.49