Qwen2.5-Dyanka-7B-Preview/README.md

---
base_model:
- 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
---

![Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview/resolve/main/Costume1(62).png)

# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) as a base.

### Models Merged

The following models were included in the merge:
* [rombodawg/Rombos-LLM-V2.5-Qwen-7b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b)
* [suayptalha/Clarus-7B-v0.1](https://huggingface.co/suayptalha/Clarus-7B-v0.1)
* [prithivMLmods/WebMind-7B-v0.1](https://huggingface.co/prithivMLmods/WebMind-7B-v0.1)
* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS)
* [Xiaojian9992024/Qwen2.5-THREADRIPPER-Small](https://huggingface.co/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small)

### 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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Xiaojian9992024__Qwen2.5-Dyanka-7B-Preview-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      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|