README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- FuseAI/FuseChat-Qwen-2.5-7B-Instruct
- fblgit/cybertron-v4-qw7B-UNAMGS
- bunnycore/Qwen-2.1-7b-Persona-lora_model
- prithivMLmods/QwQ-LCoT-7B-Instruct
- fblgit/cybertron-v4-qw7B-UNAMGS
model-index:
- name: FuseQwQen-7B
  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: 72.75
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      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: 35.91
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      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: 12.01
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      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: 5.93
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      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: 11.98
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      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: 37.85
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/FuseQwQen-7B
      name: Open LLM Leaderboard
---
# 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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [FuseAI/FuseChat-Qwen-2.5-7B-Instruct](https://huggingface.co/FuseAI/FuseChat-Qwen-2.5-7B-Instruct)
* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS) + [bunnycore/Qwen-2.1-7b-Persona-lora_model](https://huggingface.co/bunnycore/Qwen-2.1-7b-Persona-lora_model)
* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: FuseAI/FuseChat-Qwen-2.5-7B-Instruct
    parameters:
      weight: 0.5
  - model: prithivMLmods/QwQ-LCoT-7B-Instruct
    parameters:
      weight: 1.0
  - model: fblgit/cybertron-v4-qw7B-UNAMGS
    parameters:
      weight: 0.3
  - model: fblgit/cybertron-v4-qw7B-UNAMGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      weight: 0.6
merge_method: linear
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/bunnycore__FuseQwQen-7B-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |29.40|
|IFEval (0-Shot)    |72.75|
|BBH (3-Shot)       |35.91|
|MATH Lvl 5 (4-Shot)|12.01|
|GPQA (0-shot)      | 5.93|
|MuSR (0-shot)      |11.98|
|MMLU-PRO (5-shot)  |37.85|