rombodawg/Rombos-LLM-V2.5-Qwen-7b
suayptalha/Clarus-7B-v0.1
gz987/qwen2.5-7b-cabs-v0.3
prithivMLmods/WebMind-7B-v0.1
fblgit/cybertron-v4-qw7B-MGS
Xiaojian9992024/Qwen2.5-THREADRIPPER-Small library_name: transformers tags:
mergekit
merge model-index:
name: Qwen2.5-Dyanka-7B-Preview 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: 76.4 name: averaged accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview 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: 36.62 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview 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: 48.79 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview 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: 8.95 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview 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: 15.51 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview 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: 37.51 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview name: Open LLM Leaderboard license: apache-2.0

merge

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

Merge Details

Merge Method

This model was merged using the TIES merge method using gz987/qwen2.5-7b-cabs-v0.3 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    #no parameters necessary for base model
  - model: suayptalha/Clarus-7B-v0.1
    parameters:
      density: 0.2
      weight: 0.2
  - model: Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
    parameters:
      density: 0.2
      weight: 0.2
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
    parameters:
      density: 0.2
      weight: 0.2
  - model: prithivMLmods/WebMind-7B-v0.1
    parameters:
      density: 0.2
      weight: 0.2
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      density: 0.2
      weight: 0.2
      
merge_method: ties
base_model: gz987/qwen2.5-7b-cabs-v0.3
parameters:
  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	37.30
IFEval (0-Shot)	76.40
BBH (3-Shot)	36.62
MATH Lvl 5 (4-Shot)	48.79
GPQA (0-shot)	8.95
MuSR (0-shot)	15.51
MMLU-PRO (5-shot)	37.51

RichardErkhov/Xiaojian9992024_-_Qwen2.5-Dyanka-7B-Preview-4bits

Original model description: