README.md

metadata

license: cc-by-nc-sa-4.0
library_name: transformers
tags:
  - mergekit
  - merge
  - conversational
base_model:
  - rombodawg/Rombos-LLM-V2.5-Qwen-7b
  - Cran-May/T.E-8.1
model-index:
  - name: Rombos-2.5-T.E-8.1
    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: 69.25
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          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: 36.5
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          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: 0.83
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          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: 8.17
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          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: 10.98
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          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: 38.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
          name: Open LLM Leaderboard

merged

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

You can use ChatML format.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• rombodawg/Rombos-LLM-V2.5-Qwen-7b
• Cran-May/T.E-8.1

Configuration

The following YAML configuration was used to produce this model:

base_model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 28]
    model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
  - layer_range: [0, 28]
    model: Cran-May/T.E-8.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	27.34
IFEval (0-Shot)	69.25
BBH (3-Shot)	36.50
MATH Lvl 5 (4-Shot)	0.83
GPQA (0-shot)	8.17
MuSR (0-shot)	10.98
MMLU-PRO (5-shot)	38.28