metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
  - SLERP
  - llama
  - Yi-1.5
base_model:
  - altomek/YiSM-34B-0rn
  - Azure99/blossom-v5.1-34b
model-index:
  - name: YiSM-blossom5.1-34B-SLERP
    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: 50.33
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          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: 46.4
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          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: 19.79
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          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: 14.09
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          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: 14.37
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          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: 41.56
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CombinHorizon/YiSM-blossom5.1-34B-SLERP
          name: Open LLM Leaderboard
language:
  - en
pipeline_tag: text-generation

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:

Both are based on Yi-1.5

Configuration

The following YAML configuration was used to produce this model:

slices:
- sources:
  - model: altomek/YiSM-34B-0rn
    layer_range:
    - 0
    - 60
  - model: Azure99/blossom-v5.1-34b
    layer_range:
    - 0
    - 60
merge_method: slerp
base_model: altomek/YiSM-34B-0rn
parameters:
  t:
  - filter: self_attn
    value:
    - 0
    - 0.5
    - 0.3
    - 0.7
    - 1
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.38
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	31.09
IFEval (0-Shot)	50.33
BBH (3-Shot)	46.40
MATH Lvl 5 (4-Shot)	19.79
GPQA (0-shot)	14.09
MuSR (0-shot)	14.37
MMLU-PRO (5-shot)	41.56